|
--- |
|
license: apache-2.0 |
|
base_model: EleutherAI/pythia-410m |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: instruction_finetuned_1200_steps |
|
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. --> |
|
|
|
# instruction_finetuned_1200_steps |
|
|
|
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1967 |
|
|
|
## 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 |
|
- training_steps: 1200 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.4451 | 0.05 | 120 | 1.2970 | |
|
| 1.2442 | 0.11 | 240 | 1.2837 | |
|
| 1.2821 | 0.16 | 360 | 1.2557 | |
|
| 1.2628 | 0.21 | 480 | 1.2451 | |
|
| 1.2579 | 0.27 | 600 | 1.2359 | |
|
| 1.3943 | 0.32 | 720 | 1.2239 | |
|
| 1.11 | 0.37 | 840 | 1.2141 | |
|
| 1.2382 | 0.43 | 960 | 1.2079 | |
|
| 1.54 | 0.48 | 1080 | 1.1994 | |
|
| 1.0787 | 0.53 | 1200 | 1.1967 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
