70 lines
1.7 KiB
Markdown
70 lines
1.7 KiB
Markdown
|
---
|
||
|
|
library_name: transformers
|
||
|
|
license: llama3.2
|
||
|
|
base_model: meta-llama/Llama-3.2-1B
|
||
|
|
tags:
|
||
|
|
- alignment-handbook
|
||
|
|
- generated_from_trainer
|
||
|
|
datasets:
|
||
|
|
- HuggingFaceH4/deita-10k-v0-sft
|
||
|
|
model-index:
|
||
|
|
- name: student_sft_init
|
||
|
|
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. -->
|
||
|
|
|
||
|
|
# student_sft_init
|
||
|
|
|
||
|
|
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the HuggingFaceH4/deita-10k-v0-sft dataset.
|
||
|
|
It achieves the following results on the evaluation set:
|
||
|
|
- Loss: 1.1767
|
||
|
|
|
||
|
|
## 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: 1
|
||
|
|
- seed: 42
|
||
|
|
- distributed_type: multi-GPU
|
||
|
|
- num_devices: 4
|
||
|
|
- gradient_accumulation_steps: 4
|
||
|
|
- total_train_batch_size: 64
|
||
|
|
- total_eval_batch_size: 4
|
||
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
||
|
|
- lr_scheduler_type: cosine
|
||
|
|
- lr_scheduler_warmup_ratio: 0.1
|
||
|
|
- num_epochs: 3
|
||
|
|
|
||
|
|
### Training results
|
||
|
|
|
||
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
||
|
|
|:-------------:|:-----:|:----:|:---------------:|
|
||
|
|
| 1.1293 | 1.0 | 571 | 1.1598 |
|
||
|
|
| 0.9276 | 2.0 | 1142 | 1.1511 |
|
||
|
|
| 0.8279 | 3.0 | 1713 | 1.1767 |
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.52.4
|
||
|
|
- Pytorch 2.10.0+cu126
|
||
|
|
- Datasets 4.8.4
|
||
|
|
- Tokenizers 0.21.4
|