---
license: llama3
base_model: meta-llama/Meta-Llama-3-70B
tags:
- generated_from_trainer
model-index:
- name: 70BDOL
  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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.4.0`
```yaml
base_model: meta-llama/Meta-Llama-3-70B
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer
tokenizer_use_fast: false


load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: datasets/dolphin201-sharegpt2.jsonl
    type: sharegpt
    conversation: chatml
  - path: datasets/dolphin-coder-translate-sharegpt2.jsonl
    type: sharegpt
    conversation: chatml
  - path: datasets/dolphin-coder-codegen-sharegpt2.jsonl
    type: sharegpt
    conversation: chatml
  - path: datasets/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
    type: sharegpt
    conversation: chatml
  - path: datasets/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
    type: sharegpt
    conversation: chatml
  - path: datasets/not_samantha_norefusals.jsonl
    type: sharegpt
    conversation: chatml
  - path: datasets/Orca-Math-resort-unfiltered.jsonl
    type: sharegpt
    conversation: chatml
  - path: datasets/openhermes200k_unfiltered.jsonl
    type: sharegpt 
    conversation: chatml

chat_template: chatml
    

dataset_prepared_path: 70BDOL
val_set_size: 0.0002
output_dir: ./70BDOL

sequence_len: 4096
sample_packing: true
pad_to_sequence_len: true

gradient_accumulation_steps: 4
micro_batch_size: 3
num_epochs: 3
logging_steps: 1
optimizer: adamw_8bit
lr_scheduler: cosine
learning_rate: 2e-5

wandb_project: 70BDOL
wandb_watch:
wandb_run_id:
wandb_log_model:

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: unsloth
gradient_checkpointing_kwargs:
  use_reentrant: false
early_stopping_patience:
resume_from_checkpoint: 70BDOL/checkpoint-2149
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: false
saves_per_epoch: 5
save_total_limit: 2
save_steps:
evals_per_epoch: 5
eval_sample_packing: false
debug:
deepspeed: deepspeed_configs/zero3_bf16.json
weight_decay: 0.05
fsdp:
fsdp_config:
special_tokens:
  eos_token: "<|im_end|>"
  pad_token: "<|end_of_text|>"
tokens:
  - "<|im_start|>"
  - "<|im_end|>"
```

</details><br>

# 70BDOL

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5272

## 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: 3
- eval_batch_size: 3
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8626        | 0.0   | 1    | 0.8021          |
| 0.5395        | 0.2   | 307  | 0.5590          |
| 0.5062        | 0.4   | 614  | 0.5462          |
| 0.4612        | 0.6   | 921  | 0.5373          |
| 0.4884        | 0.8   | 1228 | 0.5302          |
| 0.48          | 1.0   | 1535 | 0.5176          |
| 0.3536        | 1.19  | 1842 | 0.5342          |
| 0.3205        | 1.39  | 2149 | 0.5311          |
| 0.2462        | 1.6   | 2456 | 0.5373          |
| 0.2384        | 1.8   | 2763 | 0.5275          |
| 0.2594        | 2.0   | 3070 | 0.5196          |
| 0.1562        | 2.19  | 3377 | 0.5347          |
| 0.1412        | 2.39  | 3684 | 0.5334          |
| 0.1468        | 2.59  | 3991 | 0.5276          |
| 0.1458        | 2.79  | 4298 | 0.5279          |
| 0.1368        | 2.99  | 4605 | 0.5272          |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.4.0.dev20240412+rocm6.0
- Datasets 2.15.0
- Tokenizers 0.15.0