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---
license: other
base_model: google/gemma-7b
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: gemma-7b-sft-full-longest-1k-v1
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. -->
# gemma-7b-sft-full-longest-1k-v1
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co./google/gemma-7b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0137
## 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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9689 | 5.0 | 30 | 1.4644 |
| 1.1624 | 10.0 | 60 | 1.0363 |
| 1.0662 | 15.0 | 90 | 1.0137 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1
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