Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- all_results.json +8 -0
- best_model/README.md +202 -0
- best_model/adapter_config.json +36 -0
- best_model/adapter_model.safetensors +3 -0
- best_model/added_tokens.json +5 -0
- best_model/merges.txt +0 -0
- best_model/special_tokens_map.json +20 -0
- best_model/tokenizer.json +3 -0
- best_model/tokenizer_config.json +43 -0
- best_model/training_args.bin +3 -0
- best_model/vocab.json +0 -0
- runs/Oct28_21-44-12_narnia/events.out.tfevents.1730166257.narnia +3 -0
- runs/Oct29_00-15-47_narnia/events.out.tfevents.1730175349.narnia +3 -0
- tensorboard/events.out.tfevents.1730166022.narnia +0 -0
- tensorboard/events.out.tfevents.1730175336.narnia +3 -0
- train_results.json +8 -0
- trainer_state.json +399 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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best_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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all_results.json
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}
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best_model/README.md
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---
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base_model: Qwen/Qwen1.5-4B
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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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+
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+
### Model Sources [optional]
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+
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+
<!-- Provide the basic links for the model. -->
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+
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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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|
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### Out-of-Scope Use
|
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+
|
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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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+
|
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+
## Bias, Risks, and Limitations
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+
|
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+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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|
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[More Information Needed]
|
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+
|
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+
### Recommendations
|
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+
|
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+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
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+
|
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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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+
|
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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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|
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[More Information Needed]
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+
|
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### Training Procedure
|
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|
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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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|
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#### Training Hyperparameters
|
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|
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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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|
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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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|
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## Evaluation
|
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|
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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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|
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#### Metrics
|
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|
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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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|
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## Environmental Impact
|
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|
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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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|
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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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|
147 |
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- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
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- **Cloud Provider:** [More Information Needed]
|
150 |
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- **Compute Region:** [More Information Needed]
|
151 |
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- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
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### Model Architecture and Objective
|
156 |
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|
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[More Information Needed]
|
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|
159 |
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### Compute Infrastructure
|
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[More Information Needed]
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|
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#### Hardware
|
164 |
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|
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[More Information Needed]
|
166 |
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|
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#### Software
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168 |
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|
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[More Information Needed]
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|
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## Citation [optional]
|
172 |
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|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
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|
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**BibTeX:**
|
176 |
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|
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[More Information Needed]
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178 |
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|
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**APA:**
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|
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[More Information Needed]
|
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|
183 |
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## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
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|
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[More Information Needed]
|
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|
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## More Information [optional]
|
190 |
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|
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[More Information Needed]
|
192 |
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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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best_model/adapter_config.json
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{
|
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"alpha_pattern": {},
|
3 |
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"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Qwen/Qwen1.5-4B",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 8,
|
14 |
+
"lora_dropout": 0.1,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": [
|
18 |
+
"lm_head"
|
19 |
+
],
|
20 |
+
"peft_type": "LORA",
|
21 |
+
"r": 4,
|
22 |
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"rank_pattern": {},
|
23 |
+
"revision": null,
|
24 |
+
"target_modules": [
|
25 |
+
"self_attn.o_proj",
|
26 |
+
"mlp.gate_proj",
|
27 |
+
"self_attn.q_proj",
|
28 |
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"self_attn.v_proj",
|
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"mlp.up_proj",
|
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"mlp.down_proj",
|
31 |
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"self_attn.k_proj"
|
32 |
+
],
|
33 |
+
"task_type": "CAUSAL_LM",
|
34 |
+
"use_dora": false,
|
35 |
+
"use_rslora": false
|
36 |
+
}
|
best_model/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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size 1587194488
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best_model/added_tokens.json
ADDED
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{
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best_model/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
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best_model/special_tokens_map.json
ADDED
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best_model/tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 11418266
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best_model/tokenizer_config.json
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