---
license: apache-2.0
base_model: tiiuae/falcon-rw-1b
tags:
- generated_from_trainer
model-index:
- name: '034'
  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. -->

# 034

This model is a fine-tuned version of [tiiuae/falcon-rw-1b](https://huggingface.co/tiiuae/falcon-rw-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6023

## 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: 0.004
- train_batch_size: 1
- eval_batch_size: 8
- 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_ratio: 0.05
- training_steps: 80

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5706        | 0.0   | 10   | 5.1981          |
| 4.193         | 0.01  | 20   | 4.9740          |
| 3.8904        | 0.01  | 30   | 3.7232          |
| 3.4349        | 0.01  | 40   | 3.3234          |
| 2.9419        | 0.02  | 50   | 2.9871          |
| 2.7101        | 0.02  | 60   | 2.7579          |
| 2.5516        | 0.02  | 70   | 2.6366          |
| 2.4128        | 0.03  | 80   | 2.6023          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3