metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-b8-10
results: []
mt5-small-finetuned-b8-10
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6458
- Rouge1: 0.1334
- Rouge2: 0.1033
- Rougel: 0.1296
- Rougelsum: 0.1296
- Gen Len: 15.4277
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 5.1916 | 1.0 | 1357 | 3.8497 | 0.1095 | 0.086 | 0.1067 | 0.1064 | 12.6442 |
| 4.5138 | 2.0 | 2714 | 3.7329 | 0.1228 | 0.0959 | 0.1198 | 0.1195 | 14.4008 |
| 4.3429 | 3.0 | 4071 | 3.6736 | 0.1291 | 0.1 | 0.1255 | 0.1255 | 15.0502 |
| 4.3195 | 4.0 | 5428 | 3.6458 | 0.1334 | 0.1033 | 0.1296 | 0.1296 | 15.4277 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3