t5-small-finetuned-2024-04-04
This model is a fine-tuned version of liamvbetts/t5-small-finetuned-2024-04-02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6361
- Rouge1: 36.5787
- Rouge2: 23.7589
- Rougel: 33.013
- Rougelsum: 33.4725
- Gen Len: 18.9195
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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
1.6423 | 1.0 | 346 | 1.6361 | 36.5787 | 23.7589 | 33.013 | 33.4725 | 18.9195 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 107
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for liamvbetts/t5-small-finetuned-2024-04-04
Base model
liamvbetts/t5-small-finetuned-2024-04-23
Finetuned
liamvbetts/t5-small-finetuned-2024-03-27
Finetuned
liamvbetts/t5-small-finetuned-2024-03-29
Finetuned
liamvbetts/t5-small-finetuned-2024-03-30
Finetuned
liamvbetts/t5-small-finetuned-2024-04-01
Finetuned
liamvbetts/t5-small-finetuned-2024-04-02