metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
- generated_from_trainer
model-index:
- name: Mistral-7B-fine
results: []
Mistral-7B-fine
This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8107
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: 2e-05
- 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: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 19 | 2.3485 |
| No log | 2.0 | 38 | 2.6390 |
| No log | 3.0 | 57 | 2.8107 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.1
- Datasets 2.12.0
- Tokenizers 0.19.1