who_am_Itest
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1329
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3379 | 1.0 | 1 | 0.4533 |
| 0.2549 | 2.0 | 2 | 0.2352 |
| 0.1982 | 3.0 | 3 | 0.1311 |
| 0.1583 | 4.0 | 4 | 0.1311 |
| 0.16 | 5.0 | 5 | 0.1329 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for SriRamanaYash/who_am_Itest
Base model
mistralai/Mistral-7B-v0.1