mistral-7b-ift
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the data/ift dataset. It achieves the following results on the evaluation set:
- Loss: 0.9529
Model description
More information needed
Intended uses & limitations
More information needed
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9643 | 0.9989 | 455 | 1.0198 |
| 0.9077 | 2.0 | 911 | 0.9618 |
| 0.8919 | 2.9967 | 1365 | 0.9529 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for amdevraj/mistral-7b-ift
Base model
mistralai/Mistral-7B-v0.3