---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: TBD-LLaMA-1B-final_direction_reverberation
  results: []
---

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# TBD-LLaMA-1B-final_direction_reverberation

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7797

## 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: 8e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 1884

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8284        | 0.1061 | 200  | 0.7949          |
| 0.7729        | 0.2122 | 400  | 0.7919          |
| 0.7951        | 0.3183 | 600  | 0.7891          |
| 0.7963        | 0.4244 | 800  | 0.7865          |
| 0.7935        | 0.5306 | 1000 | 0.7838          |
| 0.8194        | 0.6367 | 1200 | 0.7824          |
| 0.8018        | 0.7428 | 1400 | 0.7808          |
| 0.8178        | 0.8489 | 1600 | 0.7800          |
| 0.7927        | 0.9550 | 1800 | 0.7797          |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0a0+5228986c39.nv25.05
- Datasets 4.0.0
- Tokenizers 0.22.0