---
license: other
base_model: meta-llama/Meta-Llama-3-70B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: C015_Meta-Llama-3-70B_pretrain_20240509_173017
  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. -->

# C015_Meta-Llama-3-70B_pretrain_20240509_173017

This model is a fine-tuned version of [/mnt/fl/models/llama3/Meta-Llama-3-70B](https://huggingface.co//mnt/fl/models/llama3/Meta-Llama-3-70B) on the C015_data dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0062

## 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: 3e-06
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.075
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0376        | 0.1558 | 3    | 2.0736          |
| 2.0549        | 0.3117 | 6    | 2.0736          |
| 2.1192        | 0.4675 | 9    | 2.0664          |
| 2.1346        | 0.6234 | 12   | 2.0558          |
| 2.08          | 0.7792 | 15   | 2.0401          |
| 2.0576        | 0.9351 | 18   | 2.0248          |
| 2.0351        | 1.0909 | 21   | 2.0168          |
| 1.9633        | 1.2468 | 24   | 2.0135          |
| 2.0389        | 1.4026 | 27   | 2.0117          |
| 1.9637        | 1.5584 | 30   | 2.0107          |
| 1.9749        | 1.7143 | 33   | 2.0100          |
| 2.0231        | 1.8701 | 36   | 2.0094          |
| 1.9785        | 2.0260 | 39   | 2.0088          |
| 1.9619        | 2.1818 | 42   | 2.0083          |
| 1.9971        | 2.3377 | 45   | 2.0078          |
| 1.9992        | 2.4935 | 48   | 2.0075          |
| 1.9912        | 2.6494 | 51   | 2.0071          |
| 1.9894        | 2.8052 | 54   | 2.0067          |
| 2.0143        | 2.9610 | 57   | 2.0062          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1