|
--- |
|
license: apache-2.0 |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: mistral-7B-MedText-epochs-5-lr-000002 |
|
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: mistralai/Mistral-7B-v0.1 |
|
model_type: MistralForCausalLM |
|
tokenizer_type: LlamaTokenizer |
|
is_mistral_derived_model: true |
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
|
|
datasets: |
|
- path: utrgvseniorproject/medtext |
|
type: completion |
|
dataset_prepared_path: last_run_prepared |
|
val_set_size: 0.05 |
|
output_dir: ./mistral-7B-MedText-epochs-5-lr-000002 |
|
|
|
sequence_len: 4096 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
adapter: |
|
lora_model_dir: |
|
lora_r: |
|
lora_alpha: |
|
lora_dropout: |
|
lora_target_linear: |
|
lora_fan_in_fan_out: |
|
|
|
wandb_project: mistral-7B-MedText |
|
wandb_entity: utrgvmedai |
|
wandb_watch: |
|
wandb_name: mistral-7B-MedText-epochs-5-lr-000002 |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 1 |
|
micro_batch_size: 1 |
|
num_epochs: 5 |
|
optimizer: adamw_bnb_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.000002 |
|
|
|
train_on_inputs: true |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: false |
|
|
|
gradient_checkpointing: false |
|
early_stopping_patience: |
|
#resume_from_checkpoint: true |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
flash_attn_cross_entropy: false |
|
flash_attn_rms_norm: true |
|
flash_attn_fuse_qkv: false |
|
flash_attn_fuse_mlp: true |
|
|
|
warmup_steps: 100 |
|
evals_per_epoch: 4 |
|
eval_table_size: |
|
eval_sample_packing: False |
|
saves_per_epoch: 1 |
|
debug: |
|
deepspeed: /home/josegomez15/axolotl/deepspeed_configs/zero2.json |
|
weight_decay: 0.1 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# mistral-7B-MedText-epochs-5-lr-000002 |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6109 |
|
|
|
## 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-06 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- total_train_batch_size: 8 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.5029 | 0.02 | 1 | 1.5677 | |
|
| 1.5892 | 0.26 | 11 | 1.5674 | |
|
| 1.2975 | 0.51 | 22 | 1.5646 | |
|
| 1.6405 | 0.77 | 33 | 1.5585 | |
|
| 1.4797 | 1.02 | 44 | 1.5535 | |
|
| 1.4285 | 1.23 | 55 | 1.5510 | |
|
| 1.565 | 1.49 | 66 | 1.5497 | |
|
| 1.2469 | 1.74 | 77 | 1.5485 | |
|
| 1.6729 | 2.0 | 88 | 1.5482 | |
|
| 1.2883 | 2.23 | 99 | 1.5585 | |
|
| 1.2285 | 2.49 | 110 | 1.5651 | |
|
| 1.2074 | 2.74 | 121 | 1.5639 | |
|
| 1.1427 | 3.0 | 132 | 1.5614 | |
|
| 1.1015 | 3.21 | 143 | 1.5898 | |
|
| 1.0554 | 3.47 | 154 | 1.5990 | |
|
| 1.1675 | 3.72 | 165 | 1.5823 | |
|
| 1.0228 | 3.98 | 176 | 1.5949 | |
|
| 1.0462 | 4.19 | 187 | 1.6039 | |
|
| 1.0623 | 4.44 | 198 | 1.6127 | |
|
| 1.1305 | 4.7 | 209 | 1.6109 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.17.0 |
|
- Tokenizers 0.15.0 |
|
|
