Training in progress, step 25, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +31 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +29 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +124 -0
- last-checkpoint/trainer_state.json +256 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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---
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base_model: katuni4ka/tiny-random-falcon-40b
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.13.2
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last-checkpoint/adapter_config.json
ADDED
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "katuni4ka/tiny-random-falcon-40b",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"dense",
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"dense_4h_to_h",
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"query_key_value",
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"dense_h_to_4h"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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last-checkpoint/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e57cfec7fa5b6dc86f84b7a747b908d5e0ccb5c9108674b236f4c0f27bf502d
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size 247944
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last-checkpoint/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6aea4d13feb9a156fc9ee45bd2fc54fcb9cf562531e20a3a6a42ddfc17a68f72
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size 505518
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last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:608488dcaf4515c2d3f93963e503554ea2e0ff15a5daf1091cffc2d71884636c
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size 14244
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last-checkpoint/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6676fe28230ae15b45fb334c871c6fdf1a7984a935952b9f8650896c37a8c106
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size 1064
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last-checkpoint/special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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last-checkpoint/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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last-checkpoint/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": ">>TITLE<<",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": ">>ABSTRACT<<",
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"lstrip": false,
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"normalized": false,
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"special": true
|
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},
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"2": {
|
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"content": ">>INTRODUCTION<<",
|
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"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": ">>SUMMARY<<",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
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"4": {
|
37 |
+
"content": ">>COMMENT<<",
|
38 |
+
"lstrip": false,
|
39 |
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"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
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"special": true
|
43 |
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},
|
44 |
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"5": {
|
45 |
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"content": ">>ANSWER<<",
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"lstrip": false,
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47 |
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"normalized": false,
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48 |
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"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"6": {
|
53 |
+
"content": ">>QUESTION<<",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
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"single_word": false,
|
58 |
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"special": true
|
59 |
+
},
|
60 |
+
"7": {
|
61 |
+
"content": ">>DOMAIN<<",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
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"rstrip": false,
|
65 |
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"single_word": false,
|
66 |
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"special": true
|
67 |
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},
|
68 |
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"8": {
|
69 |
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"content": ">>PREFIX<<",
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70 |
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
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75 |
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},
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"9": {
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77 |
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"content": ">>SUFFIX<<",
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"lstrip": false,
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"rstrip": false,
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|
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"special": true
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83 |
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},
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"10": {
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85 |
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"content": ">>MIDDLE<<",
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"lstrip": false,
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"single_word": false,
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90 |
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"special": true
|
91 |
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},
|
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"11": {
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93 |
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"content": "<|endoftext|>",
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94 |
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"lstrip": false,
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95 |
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"normalized": false,
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"rstrip": false,
|
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|
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"special": true
|
99 |
+
}
|
100 |
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},
|
101 |
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"additional_special_tokens": [
|
102 |
+
">>TITLE<<",
|
103 |
+
">>ABSTRACT<<",
|
104 |
+
">>INTRODUCTION<<",
|
105 |
+
">>SUMMARY<<",
|
106 |
+
">>COMMENT<<",
|
107 |
+
">>ANSWER<<",
|
108 |
+
">>QUESTION<<",
|
109 |
+
">>DOMAIN<<",
|
110 |
+
">>PREFIX<<",
|
111 |
+
">>SUFFIX<<",
|
112 |
+
">>MIDDLE<<"
|
113 |
+
],
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114 |
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
115 |
+
"clean_up_tokenization_spaces": false,
|
116 |
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"eos_token": "<|endoftext|>",
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117 |
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"model_input_names": [
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118 |
+
"input_ids",
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119 |
+
"attention_mask"
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],
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"model_max_length": 2048,
|
122 |
+
"pad_token": "<|endoftext|>",
|
123 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
124 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,256 @@
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"eval_runtime": 9.5705,
|
230 |
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"eval_samples_per_second": 115.772,
|
231 |
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|
232 |
+
"step": 25
|
233 |
+
}
|
234 |
+
],
|
235 |
+
"logging_steps": 1,
|
236 |
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"max_steps": 50,
|
237 |
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"num_input_tokens_seen": 0,
|
238 |
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"num_train_epochs": 1,
|
239 |
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"save_steps": 25,
|
240 |
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"stateful_callbacks": {
|
241 |
+
"TrainerControl": {
|
242 |
+
"args": {
|
243 |
+
"should_epoch_stop": false,
|
244 |
+
"should_evaluate": false,
|
245 |
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"should_log": false,
|
246 |
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"should_save": true,
|
247 |
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"should_training_stop": false
|
248 |
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},
|
249 |
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"attributes": {}
|
250 |
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}
|
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},
|
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"total_flos": 1081576783872.0,
|
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|
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"trial_name": null,
|
255 |
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"trial_params": null
|
256 |
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}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:584601f36ab1a8ed51fafe87e64e385940169f6773de54f4ba9276381cf7a369
|
3 |
+
size 6776
|