|
--- |
|
library_name: peft |
|
license: apache-2.0 |
|
base_model: echarlaix/tiny-random-PhiForCausalLM |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
model-index: |
|
- name: 03be64df-e585-404a-b455-8909f1fb17dc |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
<br> |
|
|
|
# 03be64df-e585-404a-b455-8909f1fb17dc |
|
|
|
This model is a fine-tuned version of [echarlaix/tiny-random-PhiForCausalLM](https://huggingface.co/echarlaix/tiny-random-PhiForCausalLM) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 6.7961 |
|
|
|
## 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: 0.000201 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 8 |
|
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 50 |
|
- training_steps: 500 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| No log | 0.0002 | 1 | 6.9331 | |
|
| 6.8587 | 0.0118 | 50 | 6.8654 | |
|
| 6.8111 | 0.0235 | 100 | 6.8337 | |
|
| 6.7917 | 0.0353 | 150 | 6.8210 | |
|
| 6.7795 | 0.0471 | 200 | 6.8123 | |
|
| 6.7839 | 0.0588 | 250 | 6.8065 | |
|
| 6.773 | 0.0706 | 300 | 6.8016 | |
|
| 6.7748 | 0.0823 | 350 | 6.7987 | |
|
| 6.774 | 0.0941 | 400 | 6.7967 | |
|
| 6.7698 | 0.1059 | 450 | 6.7958 | |
|
| 6.7577 | 0.1176 | 500 | 6.7961 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.2 |
|
- Transformers 4.46.0 |
|
- Pytorch 2.5.0+cu124 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
