metadata
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2GPT2MusiNewStricD3E5
results: []
wav2GPT2MusiNewStricD3E5
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5120
- Rouge1: 20.9558
- Rouge2: 3.2839
- Rougel: 19.7122
- Rougelsum: 19.6901
- Gen Len: 67.79
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.7207 | 1.0 | 959 | 2.7234 | 20.368 | 2.6174 | 18.7438 | 18.7592 | 63.11 |
| 2.4751 | 2.0 | 1918 | 2.6164 | 20.9097 | 3.3813 | 19.3157 | 19.386 | 66.29 |
| 2.3977 | 3.0 | 2877 | 2.5586 | 21.178 | 3.5221 | 19.9418 | 19.9061 | 67.82 |
| 2.3305 | 4.0 | 3836 | 2.5236 | 21.4817 | 3.5503 | 20.3017 | 20.2749 | 67.58 |
| 2.3079 | 5.0 | 4795 | 2.5120 | 20.9558 | 3.2839 | 19.7122 | 19.6901 | 67.79 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3