MSR-VTT-shifted-20label-severe_kl08-model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9657
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: 2e-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: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3401 | 1.0 | 313 | 4.2539 |
| 4.0309 | 2.0 | 626 | 4.0536 |
| 3.8659 | 3.0 | 939 | 3.9830 |
| 3.6674 | 4.0 | 1252 | 3.9640 |
| 3.4934 | 5.0 | 1565 | 3.9657 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.2+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3
- Downloads last month
- 22
Model tree for AdoCleanCode/MSR-VTT-shifted-20label-severe_kl08-model
Base model
openai-community/gpt2