metadata
tags:
- generated_from_trainer
model-index:
- name: dummy
results: []
dummy
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.8299
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: 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.8138 | 0.08 | 10 | 10.8044 |
| 10.7944 | 0.16 | 20 | 10.7803 |
| 10.7582 | 0.24 | 30 | 10.7152 |
| 10.5902 | 0.32 | 40 | 10.2163 |
| 9.8089 | 0.4 | 50 | 9.1952 |
| 9.0218 | 0.48 | 60 | 8.6029 |
| 8.5416 | 0.56 | 70 | 8.2792 |
| 8.3655 | 0.64 | 80 | 8.0927 |
| 8.2139 | 0.72 | 90 | 7.9744 |
| 8.1098 | 0.8 | 100 | 7.8993 |
| 8.0232 | 0.88 | 110 | 7.8529 |
| 8.1088 | 0.96 | 120 | 7.8299 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3