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-intra-frequency-model-cross-ent
results: []
Sentiment-google-t5-v1_1-xl-intra-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: 10.4219
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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 14.3641 | 1.0 | 32 | 10.4219 |
| 13.993 | 2.0 | 64 | 10.4219 |
| 13.3539 | 3.0 | 96 | 10.4219 |
| 14.0648 | 4.0 | 128 | 10.4141 |
| 13.5898 | 5.0 | 160 | 10.4219 |
| 13.8164 | 6.0 | 192 | 10.4219 |
| 14.1805 | 7.0 | 224 | 10.4219 |
| 13.8742 | 8.0 | 256 | 10.4219 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0