---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T
tags:
- generated_from_trainer
model-index:
- name: llama2-2t-asstop1-lr2-e5-cos-ep3-instruct-v4
  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. -->

# llama2-2t-asstop1-lr2-e5-cos-ep3-instruct-v4

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4769

Too many warmup steps as a result loss did not go down much. This model is suboptimal.

## Training Script

https://github.com/habanoz/llm-sft/

## Training Setup

Trained on Sagemaker ml.g5.xlarge for 1 hour(s), 43 minute(s), and 30 second(s).

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 100
- training_steps: 0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6795        | 1.0   | 202  | 1.5372          |
| 1.5387        | 2.0   | 404  | 1.4769          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.15.0