Commit
•
89a10a1
1
Parent(s):
8979cf0
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 +273 -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-2_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-2_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: 1.6129
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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: 16
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- total_train_batch_size: 16
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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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| 1.0805 | 0.6957 | 2 | 1.0819 |
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| 1.0214 | 1.7391 | 5 | 0.9261 |
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| 0.7668 | 2.7826 | 8 | 0.8322 |
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| 0.7312 | 3.8261 | 11 | 0.7920 |
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| 0.5041 | 4.8696 | 14 | 0.7918 |
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| 0.4287 | 5.9130 | 17 | 0.8765 |
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| 0.2628 | 6.9565 | 20 | 0.9647 |
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| 0.1707 | 8.0 | 23 | 1.1113 |
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| 0.1233 | 8.6957 | 25 | 1.2851 |
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| 0.0474 | 9.7391 | 28 | 1.4284 |
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| 0.0448 | 10.7826 | 31 | 1.4882 |
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| 0.0198 | 11.8261 | 34 | 1.6129 |
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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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-
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:167625a6f19664378f5627a5184b3c4ec71e5248e185e3d5f5d7d3c7a61b18d4
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size 167832240
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all_results.json
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{
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"epoch": 11.826086956521738,
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"total_flos": 8954933126627328.0,
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"train_loss": 0.4336299673544572,
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"train_runtime": 672.6435,
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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": 0.149
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}
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train_results.json
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{
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"epoch": 11.826086956521738,
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"total_flos": 8954933126627328.0,
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"train_loss": 0.4336299673544572,
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"train_runtime": 672.6435,
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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": 0.149
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}
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trainer_state.json
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