transformers pytorch phi text-generation generated_from_trainer custom_code autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: phi-600M-mix
  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: phi-600M-cont/checkpoint-5000
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
trust_remote_code: true

load_in_8bit: false
load_in_4bit: false
strict: false

# max_steps: 8000
#pretraining_dataset: nampdn-ai/tiny-strange-textbooks 
datasets:
  - path: math-ai/StackMathQA
    name: stackmathqa100k
    type:
      system_prompt: ""
      field_system: system
      field_instruction: Q
      field_output: A
      format: "[INST] {instruction} [/INST]"
      no_input_format: "[INST] {instruction} [/INST]"
    train_on_split: train[:10%]
  - path: SciPhi/textbooks-are-all-you-need-lite
    type: completion
    field: completion
    train_on_split: train[:10%]


dataset_prepared_path:
val_set_size: 0.001
output_dir: ./phi-600M-mix

sequence_len: 2048
sample_packing: true  # currently unsupported
pad_to_sequence_len:

adapter:
lora_model_dir:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
lora_fan_in_fan_out:
lora_modules_to_save:

wandb_project: phine
wandb_entity: willfulbytes
wandb_watch:
wandb_name:
wandb_log_model:

gradient_accumulation_steps: 4
micro_batch_size: 1
num_epochs: 1
optimizer: paged_adamw_8bit
adam_beta2: 0.98
adam_epsilon: 0.0000001
max_grad_norm: 1.0
lr_scheduler: cosine
learning_rate: 1e-4
cosine_min_lr_ratio: 0.2

train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: true

gradient_checkpointing: true
early_stopping_patience: false
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 0
evals_per_epoch: 100
saves_per_epoch: 10
save_steps:
debug:
deepspeed:
weight_decay: 0.1
fsdp:
fsdp_config:
resize_token_embeddings_to_32x: true
special_tokens:
  pad_token: "<|endoftext|>"

```

</details><br>

# phi-600M-mix

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6549

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.366         | 0.0   | 1    | 3.3037          |
| 2.5809        | 0.01  | 84   | 2.5172          |
| 2.5684        | 0.02  | 168  | 2.3902          |
| 2.6054        | 0.03  | 252  | 2.3144          |
| 2.2944        | 0.04  | 336  | 2.2658          |
| 2.2836        | 0.05  | 420  | 2.2178          |
| 2.4438        | 0.06  | 504  | 2.1837          |
| 2.1093        | 0.07  | 588  | 2.1460          |
| 2.1831        | 0.08  | 672  | 2.1220          |
| 2.3081        | 0.09  | 756  | 2.0990          |
| 1.9909        | 0.1   | 840  | 2.0850          |
| 2.114         | 0.11  | 924  | 2.0550          |
| 1.8529        | 0.12  | 1008 | 2.0410          |
| 2.1594        | 0.13  | 1092 | 2.0215          |
| 2.0632        | 0.14  | 1176 | 2.0035          |
| 1.9221        | 0.15  | 1260 | 1.9906          |
| 2.0664        | 0.16  | 1344 | 1.9861          |
| 1.931         | 0.17  | 1428 | 1.9708          |
| 1.9948        | 0.18  | 1512 | 1.9533          |
| 1.9229        | 0.19  | 1596 | 1.9464          |
| 2.0231        | 0.2   | 1680 | 1.9332          |
| 2.2535        | 0.21  | 1764 | 1.9232          |
| 1.8994        | 0.22  | 1848 | 1.9140          |
| 1.9913        | 0.23  | 1932 | 1.8935          |
| 1.8613        | 0.24  | 2016 | 1.8916          |
| 1.9724        | 0.25  | 2100 | 1.8790          |
| 1.9965        | 0.26  | 2184 | 1.8653          |
| 2.0012        | 0.27  | 2268 | 1.8648          |
| 1.9752        | 0.28  | 2352 | 1.8572          |
| 1.9709        | 0.29  | 2436 | 1.8504          |
| 1.7314        | 0.3   | 2520 | 1.8432          |
| 1.7373        | 0.31  | 2604 | 1.8470          |
| 1.93          | 0.32  | 2688 | 1.8353          |
| 1.7185        | 0.33  | 2772 | 1.8210          |
| 1.8435        | 0.34  | 2856 | 1.8201          |
| 1.8117        | 0.35  | 2940 | 1.8118          |
| 2.1292        | 0.36  | 3024 | 1.8095          |
| 1.7536        | 0.37  | 3108 | 1.8023          |
| 1.7596        | 0.38  | 3192 | 1.7956          |
| 1.9481        | 0.39  | 3276 | 1.7890          |
| 1.7915        | 0.4   | 3360 | 1.7872          |
| 1.8639        | 0.41  | 3444 | 1.7782          |
| 1.6688        | 0.42  | 3528 | 1.7754          |
| 1.6312        | 0.43  | 3612 | 1.7669          |
| 1.8053        | 0.45  | 3696 | 1.7602          |
| 1.8867        | 0.46  | 3780 | 1.7544          |
| 1.9305        | 0.47  | 3864 | 1.7546          |
| 1.7926        | 0.48  | 3948 | 1.7496          |
| 1.8326        | 0.49  | 4032 | 1.7436          |
| 1.7334        | 0.5   | 4116 | 1.7437          |
| 1.6552        | 0.51  | 4200 | 1.7348          |
| 1.6622        | 0.52  | 4284 | 1.7330          |
| 1.9858        | 0.53  | 4368 | 1.7303          |
| 1.7784        | 0.54  | 4452 | 1.7271          |
| 1.8752        | 0.55  | 4536 | 1.7222          |
| 1.5931        | 0.56  | 4620 | 1.7186          |
| 1.6785        | 0.57  | 4704 | 1.7131          |
| 1.8382        | 0.58  | 4788 | 1.7101          |
| 1.5888        | 0.59  | 4872 | 1.7081          |
| 1.8055        | 0.6   | 4956 | 1.7062          |
| 1.6869        | 0.61  | 5040 | 1.7021          |
| 1.8096        | 0.62  | 5124 | 1.6999          |
| 1.9318        | 0.63  | 5208 | 1.6980          |
| 1.6153        | 0.64  | 5292 | 1.6963          |
| 1.6556        | 0.65  | 5376 | 1.6924          |
| 1.4087        | 0.66  | 5460 | 1.6908          |
| 1.7946        | 0.67  | 5544 | 1.6881          |
| 1.6097        | 0.68  | 5628 | 1.6867          |
| 1.6397        | 0.69  | 5712 | 1.6847          |
| 1.7799        | 0.7   | 5796 | 1.6828          |
| 1.6216        | 0.71  | 5880 | 1.6809          |
| 1.5052        | 0.72  | 5964 | 1.6790          |
| 1.6931        | 0.73  | 6048 | 1.6773          |
| 1.5936        | 0.74  | 6132 | 1.6762          |
| 1.803         | 0.75  | 6216 | 1.6737          |
| 1.5175        | 0.76  | 6300 | 1.6719          |
| 1.6305        | 0.77  | 6384 | 1.6711          |
| 1.715         | 0.78  | 6468 | 1.6698          |
| 1.8779        | 0.79  | 6552 | 1.6686          |
| 1.6844        | 0.8   | 6636 | 1.6669          |
| 1.3624        | 0.81  | 6720 | 1.6658          |
| 1.5534        | 0.82  | 6804 | 1.6650          |
| 1.8579        | 0.83  | 6888 | 1.6648          |
| 1.6093        | 0.84  | 6972 | 1.6632          |
| 1.5325        | 0.85  | 7056 | 1.6618          |
| 1.6753        | 0.86  | 7140 | 1.6619          |
| 1.3612        | 0.87  | 7224 | 1.6611          |
| 1.4817        | 0.88  | 7308 | 1.6606          |
| 1.7252        | 0.89  | 7392 | 1.6599          |
| 1.7463        | 0.9   | 7476 | 1.6586          |
| 1.8894        | 0.91  | 7560 | 1.6581          |
| 1.545         | 0.92  | 7644 | 1.6575          |
| 1.7251        | 0.93  | 7728 | 1.6572          |
| 1.7265        | 0.94  | 7812 | 1.6572          |
| 1.7813        | 0.95  | 7896 | 1.6564          |
| 1.7005        | 0.96  | 7980 | 1.6560          |
| 1.6444        | 0.97  | 8064 | 1.6555          |
| 1.5202        | 0.98  | 8148 | 1.6552          |
| 1.8648        | 0.99  | 8232 | 1.6549          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
