metadata
library_name: transformers
license: apache-2.0
base_model: vinzur/results
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of vinzur/results on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3230
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 63 | 0.3541 |
| 0.4108 | 2.0 | 126 | 0.3398 |
| 0.4108 | 3.0 | 189 | 0.3230 |
| 0.3148 | 4.0 | 252 | 0.3258 |
| 0.2871 | 5.0 | 315 | 0.3230 |
| 0.2871 | 6.0 | 378 | 0.3288 |
| 0.2468 | 7.0 | 441 | 0.3251 |
| 0.2274 | 8.0 | 504 | 0.3277 |
| 0.2274 | 9.0 | 567 | 0.3306 |
| 0.2103 | 10.0 | 630 | 0.3263 |
| 0.2103 | 11.0 | 693 | 0.3266 |
| 0.2094 | 12.0 | 756 | 0.3285 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1