---
license: bigcode-openrail-m
base_model: bigcode/santacoder
tags:
- generated_from_trainer
model-index:
- name: '10032023'
  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. -->

# 10032023

This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2642

## 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: 5e-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: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6282        | 0.05  | 200  | 0.4105          |
| 1.7635        | 0.1   | 400  | 0.5228          |
| 1.7029        | 0.15  | 600  | 0.8193          |
| 1.6817        | 0.2   | 800  | 1.6320          |
| 1.6822        | 0.25  | 1000 | 2.8463          |
| 1.671         | 0.3   | 1200 | 3.4860          |
| 1.6698        | 0.35  | 1400 | 4.1775          |
| 1.6631        | 0.4   | 1600 | 5.2973          |
| 1.663         | 0.45  | 1800 | 5.8655          |
| 1.6599        | 0.5   | 2000 | 5.8967          |
| 1.6595        | 0.55  | 2200 | 0.2873          |
| 1.6586        | 0.6   | 2400 | 0.3041          |
| 1.6564        | 0.65  | 2600 | 0.3210          |
| 1.658         | 0.7   | 2800 | 0.3262          |
| 1.6549        | 0.75  | 3000 | 0.3136          |
| 1.6498        | 0.8   | 3200 | 0.3232          |
| 1.6462        | 0.85  | 3400 | 0.3195          |
| 1.6454        | 0.9   | 3600 | 0.3216          |
| 0.2173        | 0.95  | 3800 | 0.2726          |
| 1.6619        | 1.0   | 4000 | 0.2642          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3