transformers safetensors t5 text2text-generation generated_from_trainer base_model:elpeeee/asl_translation_model base_model:finetune:elpeeee/asl_translation_model license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: elpeeee/asl_translation_model
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: asl_translation_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# asl_translation_model

This model is a fine-tuned version of [elpeeee/asl_translation_model](https://huggingface.co/elpeeee/asl_translation_model) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0013        | 1.0   | 125  | 0.0000          |
| 0.0005        | 2.0   | 250  | 0.0000          |
| 0.0003        | 3.0   | 375  | 0.0000          |
| 0.0002        | 4.0   | 500  | 0.0000          |
| 0.0002        | 5.0   | 625  | 0.0000          |
| 0.0001        | 6.0   | 750  | 0.0000          |
| 0.0001        | 7.0   | 875  | 0.0000          |
| 0.0001        | 8.0   | 1000 | 0.0000          |
| 0.0001        | 9.0   | 1125 | 0.0000          |
| 0.0001        | 10.0  | 1250 | 0.0000          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
