Commit
•
ad6d2f8
1
Parent(s):
55d1786
Model save
Browse files- README.md +76 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +392 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Mistral-7B_task-1_60-samples_config-1_full_auto
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Mistral-7B_task-1_60-samples_config-1_full_auto
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2956
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 1.7884 | 0.8696 | 5 | 1.6039 |
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| 1.4942 | 1.9130 | 11 | 1.2939 |
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| 1.0868 | 2.9565 | 17 | 0.9507 |
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| 0.809 | 4.0 | 23 | 0.8648 |
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| 0.6926 | 4.8696 | 28 | 0.8264 |
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| 0.5667 | 5.9130 | 34 | 0.8804 |
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| 0.3857 | 6.9565 | 40 | 0.9486 |
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| 0.2768 | 8.0 | 46 | 1.1056 |
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| 0.2153 | 8.8696 | 51 | 1.1607 |
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| 0.1746 | 9.9130 | 57 | 1.1831 |
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| 0.136 | 10.9565 | 63 | 1.1962 |
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| 0.1149 | 12.0 | 69 | 1.2956 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:cdec956c30e9dc9d5e511f20a4242acffacff686838f0accc8a6b71b9c97dc90
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size 167832240
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all_results.json
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{
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"epoch": 12.0,
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"total_flos": 8954933137113088.0,
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"train_loss": 0.6606330492574236,
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"train_runtime": 672.7478,
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"train_samples": 46,
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"train_samples_per_second": 3.419,
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"train_steps_per_second": 0.372
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}
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train_results.json
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{
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"epoch": 12.0,
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"total_flos": 8954933137113088.0,
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"train_loss": 0.6606330492574236,
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"train_runtime": 672.7478,
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"train_samples": 46,
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"train_samples_per_second": 3.419,
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"train_steps_per_second": 0.372
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}
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trainer_state.json
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{
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"best_metric": 0.8263590931892395,
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| 3 |
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"best_model_checkpoint": "data/Mistral-7B_task-1_60-samples_config-1_full_auto/checkpoint-28",
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| 4 |
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"epoch": 12.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 69,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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},
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"step": 2
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},
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{
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"eval_runtime": 5.1243,
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"step": 5
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{
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"learning_rate": 2.4e-05,
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"loss": 1.7066,
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{
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},
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{
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"step": 10
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| 61 |
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{
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