Model save
Browse files- README.md +78 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +2005 -0
README.md
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| 1 |
+
---
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base_model: mistralai/Mistral-7B-v0.3
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datasets:
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- generator
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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_0_3-classification-gpt4o-100k
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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_0_3-classification-gpt4o-100k
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5428
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- total_eval_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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.8763 | 1.0 | 134 | 1.4227 |
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| 0.7756 | 2.0 | 268 | 1.4397 |
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| 0.7387 | 3.0 | 402 | 1.4401 |
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| 0.7128 | 4.0 | 536 | 1.4540 |
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| 0.6837 | 5.0 | 670 | 1.4658 |
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| 0.6691 | 6.0 | 804 | 1.4930 |
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| 0.6389 | 7.0 | 938 | 1.5040 |
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| 0.6291 | 8.0 | 1072 | 1.5243 |
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| 0.6197 | 9.0 | 1206 | 1.5375 |
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| 0.6028 | 10.0 | 1340 | 1.5428 |
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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 2.4.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 10.0,
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"total_flos": 3.755518175798624e+18,
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"train_loss": 0.7269157813556159,
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"train_runtime": 7393.4759,
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"train_samples": 92634,
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"train_samples_per_second": 11.586,
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"train_steps_per_second": 0.181
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}
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 3.755518175798624e+18,
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"train_loss": 0.7269157813556159,
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"train_runtime": 7393.4759,
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"train_samples": 92634,
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"train_samples_per_second": 11.586,
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"train_steps_per_second": 0.181
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}
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trainer_state.json
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