---
license: apache-2.0
base_model: princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: sheared_llama_1.3b-reazon_v2-ja_en_trans-T2T
  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. -->

# sheared_llama_1.3b-reazon_v2-ja_en_trans-T2T

This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3844

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0409        | 0.0114 | 10   | 1.7202          |
| 1.6901        | 0.0229 | 20   | 1.6101          |
| 1.5859        | 0.0343 | 30   | 1.5446          |
| 1.5533        | 0.0458 | 40   | 1.5029          |
| 1.4937        | 0.0572 | 50   | 1.4722          |
| 1.4802        | 0.0687 | 60   | 1.4492          |
| 1.4484        | 0.0801 | 70   | 1.4302          |
| 1.4292        | 0.0916 | 80   | 1.4183          |
| 1.4203        | 0.1030 | 90   | 1.4078          |
| 1.4184        | 0.1145 | 100  | 1.3985          |
| 1.4045        | 0.1259 | 110  | 1.3923          |
| 1.4125        | 0.1374 | 120  | 1.3886          |
| 1.4098        | 0.1488 | 130  | 1.3877          |
| 1.3921        | 0.1603 | 140  | 1.3859          |
| 1.3984        | 0.1717 | 150  | 1.3851          |
| 1.3858        | 0.1832 | 160  | 1.3845          |
| 1.3995        | 0.1946 | 170  | 1.3842          |
| 1.3943        | 0.2061 | 180  | 1.3847          |
| 1.3988        | 0.2175 | 190  | 1.3844          |
| 1.3969        | 0.2290 | 200  | 1.3844          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1