File size: 1,580 Bytes
d67bd09 9f93938 d67bd09 9f93938 d67bd09 5e925ec d67bd09 5e925ec bd90e6c 5e925ec d67bd09 5e925ec d67bd09 5e925ec bd90e6c d67bd09 647efee d67bd09 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: gemma
base_model: scottsuk0306/easylm-sft-gemma-2-2b
tags:
- easylm
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: easylm-rm-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-rm-gemma-2-2b
This model is a fine-tuned version of [scottsuk0306/easylm-sft-gemma-2-2b](https://huggingface.co/scottsuk0306/easylm-sft-gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6508
- Accuracy: 0.7083
## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6716 | 0.6667 | 100 | 0.6616 | 0.6771 |
### Framework versions
- Transformers 4.43.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|