metadata
library_name: transformers
base_model: indictrans-en-ne-checkpoint/checkpoint-732
tags:
- generated_from_trainer
model-index:
- name: indictrans-en-ne-checkpoint
results: []
indictrans-en-ne-checkpoint
This model is a fine-tuned version of indictrans-en-ne-checkpoint/checkpoint-732 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 10.7601
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.8002 | 0.8189 | 300 | 10.7568 |
| 9.734 | 1.6378 | 600 | 10.7586 |
| 9.7215 | 2.4567 | 900 | 10.7601 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1