test_sum_abs_t5_small_wasa_coref_stops
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3004
- Rouge1: 0.367
- Rouge2: 0.2723
- Rougel: 0.3409
- Rougelsum: 0.3407
- Gen Len: 19.0
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: 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 |
---|---|---|---|---|---|---|---|---|
0.3824 | 1.0 | 1632 | 0.3200 | 0.3613 | 0.2658 | 0.3354 | 0.3354 | 18.9988 |
0.3547 | 2.0 | 3264 | 0.3081 | 0.3665 | 0.2712 | 0.3399 | 0.3398 | 18.9991 |
0.3431 | 3.0 | 4896 | 0.3016 | 0.3682 | 0.2733 | 0.3418 | 0.3414 | 19.0 |
0.3321 | 4.0 | 6528 | 0.3004 | 0.367 | 0.2723 | 0.3409 | 0.3407 | 19.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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