|
--- |
|
license: mit |
|
base_model: microsoft/phi-2 |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
model-index: |
|
- name: phi2-filter2 |
|
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: `0.3.0` |
|
```yaml |
|
base_model: microsoft/phi-2 |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
trust_remote_code: true |
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
|
|
hub_model_id: satpalsr/phi2-filter2 |
|
hf_use_auth_token: true |
|
|
|
datasets: |
|
- path: satpalsr/translation-filter |
|
type: completion |
|
|
|
dataset_prepared_path: |
|
val_set_size: 0.01 |
|
output_dir: ./phi-sft-out2 |
|
|
|
sequence_len: 2048 |
|
sample_packing: false # currently unsupported |
|
pad_to_sequence_len: |
|
|
|
adapter: |
|
lora_model_dir: |
|
lora_r: 16 |
|
lora_alpha: 32 |
|
lora_dropout: 0.1 |
|
lora_target_linear: true |
|
lora_fan_in_fan_out: |
|
lora_modules_to_save: |
|
- embd |
|
- lm_head |
|
|
|
wandb_project: phi2transfilter |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 1 |
|
micro_batch_size: 16 |
|
num_epochs: 4 |
|
optimizer: paged_adamw_8bit |
|
adam_beta2: 0.95 |
|
adam_epsilon: 0.00001 |
|
max_grad_norm: 1.0 |
|
lr_scheduler: cosine |
|
learning_rate: 1e-5 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: true |
|
fp16: false |
|
tf32: true |
|
|
|
gradient_checkpointing: true |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: false |
|
|
|
warmup_steps: 100 |
|
evals_per_epoch: 4 |
|
saves_per_epoch: 1 |
|
debug: |
|
deepspeed: |
|
weight_decay: 0.1 |
|
fsdp: |
|
fsdp_config: |
|
resize_token_embeddings_to_32x: true |
|
special_tokens: |
|
pad_token: "<|endoftext|>" |
|
``` |
|
|
|
</details><br> |
|
|
|
# phi2-filter2 |
|
|
|
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1944 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.5676 | 0.01 | 1 | 2.5391 | |
|
| 2.4364 | 0.25 | 29 | 2.4042 | |
|
| 1.9523 | 0.5 | 58 | 1.8580 | |
|
| 1.1137 | 0.75 | 87 | 0.9535 | |
|
| 0.5107 | 1.0 | 116 | 0.4195 | |
|
| 0.4588 | 1.25 | 145 | 0.2877 | |
|
| 0.2876 | 1.5 | 174 | 0.2462 | |
|
| 0.2959 | 1.75 | 203 | 0.2264 | |
|
| 0.2197 | 2.0 | 232 | 0.2114 | |
|
| 0.3045 | 2.25 | 261 | 0.2052 | |
|
| 0.2726 | 2.5 | 290 | 0.2022 | |
|
| 0.3046 | 2.75 | 319 | 0.1975 | |
|
| 0.3316 | 3.0 | 348 | 0.1954 | |
|
| 0.2223 | 3.25 | 377 | 0.1950 | |
|
| 0.2609 | 3.5 | 406 | 0.1946 | |
|
| 0.2739 | 3.75 | 435 | 0.1945 | |
|
| 0.2703 | 4.0 | 464 | 0.1944 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.1.1+cu118 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
|