---
license: apache-2.0
base_model: PY007/TinyLlama-1.1B-intermediate-step-240k-503b
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: TinyLlama-1.1B-intermediate-step-240k-503b-bees-internal-2048ctx-v3
  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-intermediate-step-240k-503b-bees-internal-2048ctx-v3

This model is a fine-tuned version of [PY007/TinyLlama-1.1B-intermediate-step-240k-503b](https://huggingface.co/PY007/TinyLlama-1.1B-intermediate-step-240k-503b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4285
- Accuracy: 0.4969

## 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: 4
- seed: 80085
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.5642        | 0.34  | 50   | 2.5053          | 0.4863   |
| 2.5018        | 0.68  | 100  | 2.4512          | 0.4934   |
| 2.246         | 1.02  | 150  | 2.4317          | 0.4961   |
| 2.2254        | 1.36  | 200  | 2.4333          | 0.4964   |
| 2.154         | 1.7   | 250  | 2.4285          | 0.4969   |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.2.0.dev20230914+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3