metadata
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
- generated_from_trainer
model-index:
- name: final_mistral_sequence_classification
results: []
final_mistral_sequence_classification
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: 0.2509
- Pearson: 0.9731
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|---|---|---|---|---|
| No log | 1.0 | 199 | 0.1815 | 0.9547 |
| No log | 2.0 | 398 | 0.1660 | 0.9673 |
| 0.4213 | 3.0 | 597 | 0.2031 | 0.9683 |
| 0.4213 | 4.0 | 796 | 0.2689 | 0.9679 |
| 0.4213 | 5.0 | 995 | 0.2509 | 0.9731 |
Framework versions
- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.2.0
- Tokenizers 0.20.3