t5_small_earning_conference_call_stats
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0694
- Rouge1: 0.6953
- Rouge2: 0.5056
- Rougel: 0.6725
- Rougelsum: 0.6722
- Gen Len: 11.2935
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: 0.005
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.607 | 1.0 | 569 | 1.2417 | 0.6614 | 0.467 | 0.6427 | 0.6427 | 11.6291 |
| 1.1119 | 2.0 | 1138 | 1.0879 | 0.6805 | 0.4875 | 0.6591 | 0.6592 | 11.2556 |
| 0.8388 | 3.0 | 1707 | 1.0345 | 0.6921 | 0.5015 | 0.6684 | 0.6679 | 11.3868 |
| 0.5961 | 4.0 | 2276 | 1.0694 | 0.6953 | 0.5056 | 0.6725 | 0.6722 | 11.2935 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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