---
license: apache-2.0
base_model: tiiuae/falcon-7b
tags:
- generated_from_trainer
datasets:
- yhavinga/mc4_nl_cleaned
model-index:
- name: tiny-3e-4lr+1152tbs+1ep+0.1wd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tiny-3e-4lr+1152tbs+1ep+0.1wd

This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on the yhavinga/mc4_nl_cleaned micro dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0928

## 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: 0.0003
- train_batch_size: 12
- eval_batch_size: 24
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 6
- total_train_batch_size: 1152
- total_eval_batch_size: 384
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6094        | 0.1   | 170  | 2.5980          |
| 2.4503        | 0.19  | 340  | 2.4405          |
| 2.3243        | 0.29  | 510  | 2.3428          |
| 2.2822        | 0.39  | 680  | 2.2752          |
| 2.238         | 0.49  | 850  | 2.2248          |
| 2.2015        | 0.58  | 1020 | 2.1865          |
| 2.1678        | 0.68  | 1190 | 2.1560          |
| 2.1301        | 0.78  | 1360 | 2.1312          |
| 2.1161        | 0.88  | 1530 | 2.1112          |
| 2.0997        | 0.97  | 1700 | 2.0928          |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3