Delete last-checkpoint

last-checkpoint/README.md

@@ -1,219 +0,0 @@
----
-library_name: peft
-base_model: google/flan-t5-base
----
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Data 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. -->
-
-[More Information Needed]
-
-### Training Procedure 
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Data Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
-
-
-## Training procedure
-
-
-The following `bitsandbytes` quantization config was used during training:
-- quant_method: bitsandbytes
-- load_in_8bit: True
-- load_in_4bit: False
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-- llm_int8_has_fp16_weight: False
-- bnb_4bit_quant_type: fp4
-- bnb_4bit_use_double_quant: False
-- bnb_4bit_compute_dtype: float32
-
-### Framework versions
-
-
-- PEFT 0.7.0.dev0

last-checkpoint/adapter_config.json

@@ -1,23 +0,0 @@
-{
-  "alpha_pattern": {},
-  "auto_mapping": null,
-  "base_model_name_or_path": "google/flan-t5-base",
-  "bias": "none",
-  "fan_in_fan_out": false,
-  "inference_mode": true,
-  "init_lora_weights": true,
-  "layers_pattern": null,
-  "layers_to_transform": null,
-  "lora_alpha": 32,
-  "lora_dropout": 0.05,
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 8,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "v",
-    "q"
-  ],
-  "task_type": "SEQ_2_SEQ_LM"
-}

last-checkpoint/adapter_model.safetensors

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f771ec08b58b5db2df1e35e840beea613fd221403cda69960cf10980b637f430
-size 3558888

last-checkpoint/optimizer.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5ba8e1b2a096f1141bc55a687262f697707eec5e5ef262b6683ba51ab8056edb
-size 7198906

last-checkpoint/rng_state.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:04fca484010f00fef17865c6b5cf7f6664a5d9146ff300b3753875bfa60c7f76
-size 14244

last-checkpoint/scheduler.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a4ad95690c27927b8374216bcc4afe0bd6bd85edbbc60e77edab073d52865c2e
-size 1064

last-checkpoint/trainer_state.json

@@ -1,99 +0,0 @@
-{
-  "best_metric": null,
-  "best_model_checkpoint": null,
-  "epoch": 0.2109704641350211,
-  "eval_steps": 5,
-  "global_step": 50,
-  "is_hyper_param_search": false,
-  "is_local_process_zero": true,
-  "is_world_process_zero": true,
-  "log_history": [
-    {
-      "epoch": 0.02,
-      "eval_loss": 15.681381225585938,
-      "eval_runtime": 121.7844,
-      "eval_samples_per_second": 19.05,
-      "eval_steps_per_second": 2.381,
-      "step": 5
-    },
-    {
-      "epoch": 0.04,
-      "eval_loss": 15.759403228759766,
-      "eval_runtime": 121.4272,
-      "eval_samples_per_second": 19.106,
-      "eval_steps_per_second": 2.388,
-      "step": 10
-    },
-    {
-      "epoch": 0.06,
-      "eval_loss": 15.80638599395752,
-      "eval_runtime": 121.6549,
-      "eval_samples_per_second": 19.07,
-      "eval_steps_per_second": 2.384,
-      "step": 15
-    },
-    {
-      "epoch": 0.08,
-      "eval_loss": 15.690783500671387,
-      "eval_runtime": 121.3039,
-      "eval_samples_per_second": 19.126,
-      "eval_steps_per_second": 2.391,
-      "step": 20
-    },
-    {
-      "epoch": 0.11,
-      "eval_loss": 15.691914558410645,
-      "eval_runtime": 121.3045,
-      "eval_samples_per_second": 19.125,
-      "eval_steps_per_second": 2.391,
-      "step": 25
-    },
-    {
-      "epoch": 0.13,
-      "eval_loss": 15.615920066833496,
-      "eval_runtime": 121.3348,
-      "eval_samples_per_second": 19.121,
-      "eval_steps_per_second": 2.39,
-      "step": 30
-    },
-    {
-      "epoch": 0.15,
-      "eval_loss": 15.659135818481445,
-      "eval_runtime": 121.2682,
-      "eval_samples_per_second": 19.131,
-      "eval_steps_per_second": 2.391,
-      "step": 35
-    },
-    {
-      "epoch": 0.17,
-      "eval_loss": 15.772262573242188,
-      "eval_runtime": 121.3042,
-      "eval_samples_per_second": 19.125,
-      "eval_steps_per_second": 2.391,
-      "step": 40
-    },
-    {
-      "epoch": 0.19,
-      "eval_loss": 15.559678077697754,
-      "eval_runtime": 121.2551,
-      "eval_samples_per_second": 19.133,
-      "eval_steps_per_second": 2.392,
-      "step": 45
-    },
-    {
-      "epoch": 0.21,
-      "eval_loss": 15.608057975769043,
-      "eval_runtime": 121.069,
-      "eval_samples_per_second": 19.163,
-      "eval_steps_per_second": 2.395,
-      "step": 50
-    }
-  ],
-  "logging_steps": 500,
-  "max_steps": 237,
-  "num_train_epochs": 1,
-  "save_steps": 5,
-  "total_flos": 206242578432000.0,
-  "trial_name": null,
-  "trial_params": null
-}

last-checkpoint/training_args.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1129632765112440ca29b626e4596d909f33591690726a7f5b2ecbf8fb07293a
-size 4664