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---
license: gemma
base_model: google/gemma-2-2b
tags:
- easylm
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
model-index:
- name: easylm-helpsteer-sft-gemma-2-2b
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. -->
# easylm-helpsteer-sft-gemma-2-2b
This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1448
## 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: 3e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1281 | 0.2864 | 500 | 1.1230 |
| 1.183 | 0.5727 | 1000 | 1.1017 |
| 1.1009 | 0.8591 | 1500 | 1.0869 |
| 0.6901 | 1.1455 | 2000 | 1.1486 |
| 0.7377 | 1.4318 | 2500 | 1.1488 |
| 0.6947 | 1.7182 | 3000 | 1.1501 |
### Framework versions
- Transformers 4.43.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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