mistralit2_200_STEPS_SFT_SFT
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3095
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.498 | 0.1 | 50 | 0.3952 |
| 0.3309 | 0.2 | 100 | 0.3213 |
| 0.3236 | 0.29 | 150 | 0.3108 |
| 0.3 | 0.39 | 200 | 0.3095 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for tsavage68/mistralit2_200_STEPS_5e7_SFT
Base model
mistralai/Mistral-7B-Instruct-v0.2