customer_care_dialog_summary_mistral_7b_v01
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: 1.8595
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-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.491 | 1.0 | 440 | 1.4360 |
| 1.2818 | 2.0 | 880 | 1.4264 |
| 1.1281 | 3.0 | 1320 | 1.4359 |
| 0.9752 | 4.0 | 1760 | 1.5236 |
| 0.8254 | 5.0 | 2200 | 1.6037 |
| 0.6862 | 6.0 | 2640 | 1.7587 |
| 0.5772 | 7.0 | 3080 | 1.8595 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
mistralai/Mistral-7B-v0.1