|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
model-index: |
|
- name: isafpr-mistral-lora-templatefree |
|
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: mistralai/Mistral-7B-v0.1 |
|
model_type: MistralForCausalLM |
|
tokenizer_type: LlamaTokenizer |
|
|
|
load_in_8bit: true |
|
load_in_4bit: false |
|
strict: false |
|
|
|
data_seed: 42 |
|
seed: 42 |
|
|
|
datasets: |
|
- path: data/templatefree_isaf_press_releases_ft_train.jsonl |
|
type: input_output |
|
dataset_prepared_path: |
|
val_set_size: 0.1 |
|
output_dir: ./outputs/mistral/lora-out-templatefree |
|
hub_model_id: strickvl/isafpr-mistral-lora-templatefree |
|
|
|
|
|
sequence_len: 2048 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
adapter: lora |
|
lora_model_dir: |
|
lora_r: 32 |
|
lora_alpha: 16 |
|
lora_dropout: 0.05 |
|
lora_target_linear: true |
|
lora_fan_in_fan_out: |
|
lora_target_modules: |
|
- gate_proj |
|
- down_proj |
|
- up_proj |
|
- q_proj |
|
- v_proj |
|
- k_proj |
|
- o_proj |
|
|
|
wandb_project: isaf_pr_ft |
|
wandb_entity: strickvl |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 4 |
|
micro_batch_size: 2 |
|
num_epochs: 4 |
|
optimizer: adamw_bnb_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.0002 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: false |
|
|
|
gradient_checkpointing: true |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
loss_watchdog_threshold: 5.0 |
|
loss_watchdog_patience: 3 |
|
|
|
warmup_steps: 10 |
|
evals_per_epoch: 4 |
|
eval_table_size: |
|
eval_max_new_tokens: 128 |
|
saves_per_epoch: 1 |
|
debug: |
|
deepspeed: |
|
weight_decay: 0.0 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
bos_token: "<s>" |
|
eos_token: "</s>" |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# isafpr-mistral-lora-templatefree |
|
|
|
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: 0.0288 |
|
|
|
## 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: 0.0002 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- 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: 10 |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.5339 | 0.0131 | 1 | 1.5408 | |
|
| 0.0671 | 0.2492 | 19 | 0.0549 | |
|
| 0.037 | 0.4984 | 38 | 0.0406 | |
|
| 0.0424 | 0.7475 | 57 | 0.0361 | |
|
| 0.035 | 0.9967 | 76 | 0.0351 | |
|
| 0.0322 | 1.2295 | 95 | 0.0336 | |
|
| 0.0247 | 1.4787 | 114 | 0.0314 | |
|
| 0.0229 | 1.7279 | 133 | 0.0313 | |
|
| 0.0241 | 1.9770 | 152 | 0.0299 | |
|
| 0.0222 | 2.2098 | 171 | 0.0307 | |
|
| 0.0183 | 2.4590 | 190 | 0.0296 | |
|
| 0.0205 | 2.7082 | 209 | 0.0291 | |
|
| 0.0153 | 2.9574 | 228 | 0.0281 | |
|
| 0.0162 | 3.1902 | 247 | 0.0286 | |
|
| 0.0126 | 3.4393 | 266 | 0.0290 | |
|
| 0.0147 | 3.6885 | 285 | 0.0287 | |
|
| 0.0157 | 3.9377 | 304 | 0.0288 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
