---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- iva_mt_wslot
metrics:
- bleu
model-index:
- name: seq2seq_imlla
  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. -->

# seq2seq_imlla

This model is a fine-tuned version of [](https://huggingface.co/) on the iva_mt_wslot dataset.
It achieves the following results on the evaluation set:
- Loss: 6.0658
- Bleu: 0.0042
- Gen Len: 5.8248

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
| 7.441         | 0.9992 | 636  | 7.0735          | 0.0    | 5.3206  |
| 6.5312        | 2.0    | 1273 | 6.4544          | 0.0175 | 9.5238  |
| 6.0704        | 2.9992 | 1909 | 6.2110          | 0.0007 | 4.9967  |
| 5.8907        | 4.0    | 2546 | 6.1000          | 0.0055 | 6.944   |
| 5.7606        | 4.9961 | 3180 | 6.0658          | 0.0042 | 5.8248  |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3