|
--- |
|
license: other |
|
base_model: meta-llama/Meta-Llama-3-8B |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: out |
|
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. --> |
|
|
|
# Dolphin 2.9 Llama 3 8b 🐬 |
|
|
|
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations |
|
|
|
Discord: https://discord.gg/8fbBeC7ZGx |
|
|
|
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" /> |
|
|
|
My appreciation for the sponsors of Dolphin 2.9: |
|
- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 10xL40S node |
|
|
|
This model is based on Llama-3-8b, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE) |
|
|
|
The base model has 8k context, and the full-weight fine-tuning was with 4k sequence length. |
|
|
|
It took 2.5 days on 8x L40S provided by Crusoe Cloud |
|
|
|
Dolphin-2.9 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. |
|
|
|
Dolphin is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly. |
|
|
|
Dolphin is licensed according to Meta's Llama license. I grant permission for any use, including commercial, that falls within accordance with Meta's Llama-3 license. Dolphin was trained on data generated from GPT4, among other models. |
|
|
|
[<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-3-8B |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
tokenizer_use_fast: false |
|
|
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
model_config: |
|
|
|
datasets: |
|
- path: /workspace/datasets/dolphin-2.9/dolphin201-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/Ultrachat200kunfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/dolphin-coder-translate-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/dolphin-coder-codegen-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/not_samantha_norefusals.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/Orca-Math-resort-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_negative_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_react_10p_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/openhermes200k_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/SystemConversations.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
|
|
chatml: chatml |
|
|
|
|
|
dataset_prepared_path: /workspace/datasets/dolphin-2.9/thingy |
|
val_set_size: 0.0002 |
|
output_dir: ./out |
|
|
|
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: dolphin-2.9-mixtral-8x22b |
|
wandb_watch: |
|
wandb_run_id: |
|
wandb_log_model: |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: false |
|
|
|
gradient_checkpointing: true |
|
gradient_checkpointing_kwargs: |
|
use_reentrant: false |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
saves_per_epoch: 4 |
|
save_total_limit: 2 |
|
save_steps: |
|
evals_per_epoch: 4 |
|
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> |
|
|
|
## 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: 7 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.146 | 0.0005 | 1 | 1.1064 | |
|
| 0.6962 | 0.2501 | 555 | 0.6636 | |
|
| 0.6857 | 0.5001 | 1110 | 0.6503 | |
|
| 0.6592 | 0.7502 | 1665 | 0.6419 | |
|
| 0.6465 | 1.0002 | 2220 | 0.6317 | |
|
| 0.5295 | 1.2395 | 2775 | 0.6408 | |
|
| 0.5302 | 1.4895 | 3330 | 0.6351 | |
|
| 0.5188 | 1.7396 | 3885 | 0.6227 | |
|
| 0.521 | 1.9896 | 4440 | 0.6168 | |
|
| 0.3968 | 2.2289 | 4995 | 0.6646 | |
|
| 0.3776 | 2.4789 | 5550 | 0.6619 | |
|
| 0.3983 | 2.7290 | 6105 | 0.6602 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.0 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.19.1 |
|
|
