sanchit-gandhi/Mistral-7B-v0.1-6-layer
This model is a fine-tuned version of sanchit-gandhi/Mistral-7B-v0.1-6-layer on the stingning/ultrachat dataset. It achieves the following results on the evaluation set:
- Loss: 1.0042
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 256
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 20000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.135 | 1.2361 | 5000 | 1.0484 |
| 0.9717 | 2.4722 | 10000 | 1.0058 |
| 0.8643 | 3.7083 | 15000 | 0.9966 |
| 0.8191 | 4.9444 | 20000 | 1.0042 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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