---
license: apache-2.0
base_model: PiyushLavaniya/Pythia-410m-1200_steps
tags:
- generated_from_trainer
model-index:
- name: instruction_finetuned_4000_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_4000_steps

This model is a fine-tuned version of [PiyushLavaniya/Pythia-410m-1200_steps](https://huggingface.co/PiyushLavaniya/Pythia-410m-1200_steps) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1724

## 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: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3084        | 0.01  | 120  | 1.2513          |
| 1.2838        | 0.02  | 240  | 1.2586          |
| 1.6928        | 0.03  | 360  | 1.2545          |
| 1.026         | 0.04  | 480  | 1.2530          |
| 1.2245        | 0.05  | 600  | 1.2526          |
| 1.3283        | 0.06  | 720  | 1.2527          |
| 1.1885        | 0.07  | 840  | 1.2428          |
| 1.3262        | 0.08  | 960  | 1.2439          |
| 1.4632        | 0.09  | 1080 | 1.2399          |
| 1.4186        | 0.1   | 1200 | 1.2345          |
| 0.9493        | 0.11  | 1320 | 1.2343          |
| 1.4698        | 0.12  | 1440 | 1.2253          |
| 0.7633        | 0.13  | 1560 | 1.2262          |
| 1.1568        | 0.14  | 1680 | 1.2237          |
| 1.5223        | 0.15  | 1800 | 1.2190          |
| 1.7801        | 0.16  | 1920 | 1.2147          |
| 1.2809        | 0.17  | 2040 | 1.2099          |
| 1.2552        | 0.18  | 2160 | 1.2073          |
| 1.1965        | 0.19  | 2280 | 1.2035          |
| 1.205         | 0.21  | 2400 | 1.2026          |
| 1.2114        | 0.22  | 2520 | 1.1997          |
| 1.344         | 0.23  | 2640 | 1.1945          |
| 1.3919        | 0.24  | 2760 | 1.1916          |
| 1.4231        | 0.25  | 2880 | 1.1888          |
| 1.2136        | 0.26  | 3000 | 1.1859          |
| 0.8669        | 0.27  | 3120 | 1.1849          |
| 1.3909        | 0.28  | 3240 | 1.1823          |
| 1.2214        | 0.29  | 3360 | 1.1801          |
| 1.238         | 0.3   | 3480 | 1.1780          |
| 1.4586        | 0.31  | 3600 | 1.1757          |
| 1.0247        | 0.32  | 3720 | 1.1744          |
| 1.0334        | 0.33  | 3840 | 1.1731          |
| 1.2078        | 0.34  | 3960 | 1.1724          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1