|
--- |
|
license: apache-2.0 |
|
base_model: t5-small |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: amtibot0 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# amtibot0 |
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co./t5-small) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.7046 |
|
- Rouge1: 0.3003 |
|
- Rouge2: 0.1181 |
|
- Rougel: 0.2653 |
|
- Rougelsum: 0.2653 |
|
- 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: 32 |
|
- eval_batch_size: 32 |
|
- 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 | 10 | 4.1094 | 0.3037 | 0.1191 | 0.2643 | 0.2644 | 19.0 | |
|
| No log | 2.0 | 20 | 3.8791 | 0.3019 | 0.1174 | 0.2645 | 0.2644 | 19.0 | |
|
| No log | 3.0 | 30 | 3.7484 | 0.3031 | 0.1202 | 0.2678 | 0.268 | 19.0 | |
|
| No log | 4.0 | 40 | 3.7046 | 0.3003 | 0.1181 | 0.2653 | 0.2653 | 19.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
