File size: 2,076 Bytes
eb4b3e1 065a169 eb4b3e1 065a169 eb4b3e1 065a169 eb4b3e1 |
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 70 71 72 73 74 75 76 77 78 79 |
---
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-7b
datasets:
- llama-duo/synth_coding_dataset_dedup
model-index:
- name: gemma7b-coding-gpt4o-100k
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. -->
# gemma7b-coding-gpt4o-100k
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_coding_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9658
## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5262 | 0.9989 | 470 | 1.3224 |
| 0.4826 | 2.0 | 941 | 1.3435 |
| 0.4369 | 2.9989 | 1411 | 1.4787 |
| 0.3819 | 4.0 | 1882 | 1.7432 |
| 0.3345 | 4.9989 | 2352 | 2.1234 |
| 0.2875 | 6.0 | 2823 | 2.5846 |
| 0.2319 | 6.9989 | 3293 | 3.1057 |
| 0.1968 | 8.0 | 3764 | 3.6609 |
| 0.1809 | 8.9989 | 4234 | 3.9400 |
| 0.1757 | 9.9894 | 4700 | 3.9658 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.40.1
- Pytorch 2.2.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1 |