|
--- |
|
license: apache-2.0 |
|
base_model: google/t5-v1_1-xl |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: ghc-google-t5-v1_1-xl-inter-frequency-model-cross-ent |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# ghc-google-t5-v1_1-xl-inter-frequency-model-cross-ent |
|
|
|
This model is a fine-tuned version of [google/t5-v1_1-xl](https://huggingface.co./google/t5-v1_1-xl) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: nan |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.4902 | 1.0 | 1378 | 0.4609 | |
|
| 0.4294 | 2.0 | 2756 | 0.4150 | |
|
| 0.0 | 3.0 | 4134 | nan | |
|
| 0.0 | 4.0 | 5512 | nan | |
|
| 0.0 | 5.0 | 6890 | nan | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.6.1 |
|
- Tokenizers 0.14.1 |
|
|
