metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: amtibot_t5
results: []
amtibot_t5
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3926
- Rouge1: 0.3075
- Rouge2: 0.1254
- Rougel: 0.2587
- Rougelsum: 0.2591
- 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 | 0.92 | 9 | 2.9455 | 0.3081 | 0.128 | 0.265 | 0.2643 | 19.0 |
| No log | 1.95 | 19 | 2.5732 | 0.3069 | 0.1305 | 0.2575 | 0.257 | 19.0 |
| No log | 2.97 | 29 | 2.4209 | 0.3039 | 0.1243 | 0.2548 | 0.2559 | 19.0 |
| No log | 3.69 | 36 | 2.3926 | 0.3075 | 0.1254 | 0.2587 | 0.2591 | 19.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2