MSR-VTT-real-mild_kl02-model-run2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8170
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0728 | 1.0 | 894 | 3.9950 |
| 4.0168 | 2.0 | 1788 | 3.8929 |
| 3.8638 | 3.0 | 2682 | 3.8561 |
| 3.6747 | 4.0 | 3576 | 3.8266 |
| 3.7427 | 5.0 | 4470 | 3.8156 |
| 3.6045 | 6.0 | 5364 | 3.8055 |
| 3.521 | 7.0 | 6258 | 3.8102 |
| 3.4621 | 8.0 | 7152 | 3.8102 |
| 3.5533 | 9.0 | 8046 | 3.8139 |
| 3.4184 | 10.0 | 8940 | 3.8170 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3
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openai-community/gpt2