---
license: apache-2.0
base_model: pszemraj/tinyllama-1.1b-3T
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tinyllama-1.1b-3T-bees-internal-2048-vN
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tinyllama-1.1b-3T-bees-internal-2048-vN

This model is a fine-tuned version of [pszemraj/tinyllama-1.1b-3T](https://huggingface.co/pszemraj/tinyllama-1.1b-3T) on the BEE-spoke-data/bees-internal dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1640
- Accuracy: 0.5406

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 13707
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4432        | 0.19  | 50   | 2.3850          | 0.5033   |
| 2.3655        | 0.39  | 100  | 2.3124          | 0.5129   |
| 2.374         | 0.58  | 150  | 2.2588          | 0.5215   |
| 2.3558        | 0.78  | 200  | 2.2132          | 0.5291   |
| 2.2677        | 0.97  | 250  | 2.1828          | 0.5348   |
| 2.0701        | 1.17  | 300  | 2.1788          | 0.5373   |
| 2.0766        | 1.36  | 350  | 2.1673          | 0.5398   |
| 2.0669        | 1.56  | 400  | 2.1651          | 0.5402   |
| 2.0314        | 1.75  | 450  | 2.1641          | 0.5406   |
| 2.0281        | 1.95  | 500  | 2.1639          | 0.5407   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0
- Datasets 2.16.1
- Tokenizers 0.15.0