t5-small-finetuned-audio-text-cc
This model is a fine-tuned version of marianna13/t5-small-finetuned-audio-text-cc on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1080
- Rouge1: 0.4038
- Rouge2: 0.3319
- Rougel: 0.3953
- Rougelsum: 0.396
- Gen Len: 18.9512
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 21 | 1.2221 | 0.2804 | 0.2232 | 0.2662 | 0.2684 | 18.9268 |
| No log | 2.0 | 42 | 1.1502 | 0.3769 | 0.3105 | 0.3685 | 0.368 | 19.0 |
| No log | 3.0 | 63 | 1.1188 | 0.3969 | 0.3226 | 0.3892 | 0.389 | 18.9512 |
| No log | 4.0 | 84 | 1.1080 | 0.4038 | 0.3319 | 0.3953 | 0.396 | 18.9512 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2