|
--- |
|
license: apache-2.0 |
|
base_model: google/t5-v1_1-large |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: SChem5Labels-google-t5-v1_1-large-intra_model-frequency-human_annots_str_jloss |
|
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. --> |
|
|
|
# SChem5Labels-google-t5-v1_1-large-intra_model-frequency-human_annots_str_jloss |
|
|
|
This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: inf |
|
|
|
## 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: 128 |
|
- eval_batch_size: 128 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.0 | 1.0 | 25 | inf | |
|
| 0.0 | 2.0 | 50 | inf | |
|
| 0.0 | 3.0 | 75 | inf | |
|
| 0.0 | 4.0 | 100 | inf | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.6.1 |
|
- Tokenizers 0.14.1 |
|
|
