|
--- |
|
license: apache-2.0 |
|
base_model: EleutherAI/pythia-70m |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: pythia70M-finetuned-on-lamini-docs |
|
results: [] |
|
inference: false |
|
datasets: |
|
- lamini/lamini_docs |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# pythia70M-finetuned-on-lamini-docs |
|
|
|
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on [lamini/lamini_docs](https://huggingface.co/datasets/lamini/lamini_docs) dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.0582 |
|
|
|
## 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-05 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 1 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.3194 | 0.16 | 50 | 2.4776 | |
|
| 2.3198 | 0.32 | 100 | 2.3780 | |
|
| 2.16 | 0.48 | 150 | 2.2905 | |
|
| 2.2156 | 0.63 | 200 | 2.2450 | |
|
| 2.3342 | 0.79 | 250 | 2.1934 | |
|
| 2.7634 | 0.95 | 300 | 2.1748 | |
|
| 2.4963 | 1.11 | 350 | 2.1500 | |
|
| 2.1493 | 1.27 | 400 | 2.1413 | |
|
| 1.8731 | 1.43 | 450 | 2.1200 | |
|
| 2.0132 | 1.59 | 500 | 2.1030 | |
|
| 1.9606 | 1.75 | 550 | 2.0848 | |
|
| 1.37 | 1.9 | 600 | 2.0659 | |
|
| 1.7681 | 2.06 | 650 | 2.0744 | |
|
| 1.8926 | 2.22 | 700 | 2.0779 | |
|
| 1.2409 | 2.38 | 750 | 2.0683 | |
|
| 1.489 | 2.54 | 800 | 2.0616 | |
|
| 1.5143 | 2.7 | 850 | 2.0604 | |
|
| 1.3736 | 2.86 | 900 | 2.0582 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
