metadata
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: ghc-google-t5-v1_1-large-inter_model-frequency-model_annots_str
results: []
ghc-google-t5-v1_1-large-inter_model-frequency-model_annots_str
This model is a fine-tuned version of google/t5-v1_1-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3108
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: 0.0001
- 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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.3989 | 1.0 | 689 | 5.7253 |
| 0.3833 | 2.0 | 1378 | 0.3076 |
| 0.3352 | 3.0 | 2067 | 0.2992 |
| 0.3233 | 4.0 | 2756 | 0.2986 |
| 0.3203 | 5.0 | 3445 | 0.2983 |
| 0.3409 | 6.0 | 4134 | 0.3035 |
| 0.3078 | 7.0 | 4823 | 0.2952 |
| 0.3021 | 8.0 | 5512 | 0.2973 |
| 0.3136 | 9.0 | 6201 | 0.2968 |
| 0.3297 | 10.0 | 6890 | 0.2979 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1