metadata
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- generated_from_trainer
model-index:
- name: Mistral-7B-Instruct-v0.2-absa-laptops
results: []
Mistral-7B-Instruct-v0.2-absa-laptops
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0271
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1703 | 0.36 | 40 | 0.1843 |
| 0.0773 | 0.72 | 80 | 0.0347 |
| 0.0253 | 1.08 | 120 | 0.0303 |
| 0.019 | 1.44 | 160 | 0.0313 |
| 0.0188 | 1.8 | 200 | 0.0258 |
| 0.0155 | 2.16 | 240 | 0.0300 |
| 0.0134 | 2.52 | 280 | 0.0271 |
| 0.0127 | 2.88 | 320 | 0.0245 |
| 0.0104 | 3.24 | 360 | 0.0272 |
| 0.0085 | 3.6 | 400 | 0.0271 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2