transformers safetensors llama text-generation generated_from_trainer custom_code base_model:lelapa/InkubaLM-0.4B base_model:finetune:lelapa/InkubaLM-0.4B license:cc-by-nc-4.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: lelapa/InkubaLM-0.4B
library_name: transformers
license: cc-by-nc-4.0
tags:
- generated_from_trainer
model-index:
- name: translation-finetuned
  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. -->

# translation-finetuned

This model is a fine-tuned version of [lelapa/InkubaLM-0.4B](https://huggingface.co/lelapa/InkubaLM-0.4B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7427

## 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: 4
- eval_batch_size: 4
- seed: 42
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 74   | 3.7958          |
| No log        | 2.0   | 148  | 3.5708          |
| No log        | 3.0   | 222  | 3.7427          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
