|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: home/005/th5351/output |
|
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: `0.4.1` |
|
```yaml |
|
base_model: /home/005/th5351/models/cosmosage-llama3-8b-base/ |
|
model_type: LlamaForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
|
|
chat_template: llama3 |
|
datasets: |
|
- path: /home/005/th5351/datasets/combined_sft.jsonl |
|
type: chat_template |
|
chat_template: llama3 |
|
field_messages: conversations |
|
message_field_role: from |
|
message_field_content: value |
|
roles: |
|
system: |
|
- system |
|
user: |
|
- human |
|
assistant: |
|
- gpt |
|
|
|
|
|
dataset_prepared_path: /home/005/th5351/output/last_run_prepared |
|
val_set_size: 0.001 |
|
eval_sample_packing: false |
|
output_dir: /home/005/th5351/output |
|
|
|
sequence_len: 8192 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
wandb_project: |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 8 |
|
micro_batch_size: 1 |
|
num_epochs: 2 |
|
optimizer: paged_adamw_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 5e-5 |
|
cosine_min_lr_ratio: 0.2 |
|
cosine_constant_lr_ratio: 0.8 |
|
max_grad_norm: 3.0 |
|
|
|
seed: 42 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: false |
|
|
|
gradient_checkpointing: true |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_steps: 100 |
|
evals_per_epoch: 5 |
|
eval_table_size: |
|
saves_per_epoch: 1 |
|
debug: |
|
deepspeed: /home/005/th5351/packages/axolotl/deepspeed_configs/zero2.json |
|
ddp_timeout: 3600000 |
|
weight_decay: 0.0 |
|
fsdp: |
|
fsdp_config: |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# home/005/th5351/output |
|
|
|
This model was trained from scratch on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: nan |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 32 |
|
- total_eval_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 2 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.3757 | 0.0005 | 1 | nan | |
|
| 0.8083 | 0.1999 | 388 | nan | |
|
| 0.8005 | 0.3998 | 776 | nan | |
|
| 0.7389 | 0.5998 | 1164 | nan | |
|
| 0.7269 | 0.7997 | 1552 | nan | |
|
| 0.7069 | 0.9996 | 1940 | nan | |
|
| 0.5786 | 1.1613 | 2328 | nan | |
|
| 0.5385 | 1.3613 | 2716 | nan | |
|
| 0.5381 | 1.5612 | 3104 | nan | |
|
| 0.5273 | 1.7611 | 3492 | nan | |
|
| 0.527 | 1.9610 | 3880 | nan | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
