---
library_name: transformers
base_model: Unbabel/EuroLLM-1B-annealed-fw
tags:
- generated_from_trainer
model-index:
- name: experiments/EuroLLM/EuroLLM-1B-annealed-fw-euroblocks-v0.1
  results: []
---

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# experiments/EuroLLM/EuroLLM-1B-annealed-fw-euroblocks-v0.1

This model is a fine-tuned version of [Unbabel/EuroLLM-1B-annealed-fw](https://huggingface.co./Unbabel/EuroLLM-1B-annealed-fw) on the None dataset.

## 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: 7e-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 24
- total_train_batch_size: 96
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 4

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1