metadata
license: apache-2.0
base_model: google/t5-v1_1-xl
tags:
- generated_from_trainer
model-index:
- name: Sentiment-google-t5-v1_1-xl-inter-frequency-model-cross-ent
results: []
Sentiment-google-t5-v1_1-xl-inter-frequency-model-cross-ent
This model is a fine-tuned version of google/t5-v1_1-xl on the None dataset. It achieves the following results on the evaluation set:
- Loss: 9.8984
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: 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 14.4195 | 1.0 | 32 | 9.8984 |
| 14.0508 | 2.0 | 64 | 9.8984 |
| 13.1289 | 3.0 | 96 | 9.8984 |
| 14.0766 | 4.0 | 128 | 9.8984 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0