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--- |
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base_model: diwank/cryptgpt |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: cryptgpt |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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# See: |
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# - https://github.com/karpathy/nanoGPT/blob/master/config/train_gpt2.py#L1 |
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# - https://github.com/OpenAccess-AI-Collective/axolotl/blob/main/examples/tiny-llama/pretrain.yml#L14 |
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# - https://github.com/karpathy/nanoGPT/blob/master/train.py#L35 |
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base_model: diwank/cryptgpt |
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hub_model_id: diwank/cryptgpt |
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model_type: GPT2LMHeadModel |
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tokenizer_type: AutoTokenizer |
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trust_remote_code: true # required for CryptGPTTokenizer |
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resize_token_embeddings_to_32x: true |
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output_dir: ./outputs/model-out |
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datasets: |
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- path: diwank/encrypted-openwebtext |
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type: completion |
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dataset_prepared_path: ./cryptgpt-prepared-dataset |
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val_set_size: 0.04 |
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shuffle_merged_datasets: false |
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sequence_len: 1024 |
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pad_to_sequence_len: true |
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sample_packing: false |
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pretrain_multipack_attn: false |
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train_on_inputs: true |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 64 |
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optimizer: adamw_bnb_8bit |
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adam_beta1: 0.9 |
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adam_beta2: 0.95 |
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seed: 42 |
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lr_scheduler: cosine |
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learning_rate: 6e-4 |
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cosine_min_lr_ratio: 0.1 # min: 6e-5 |
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weight_decay: 0.1 |
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bf16: auto |
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tf32: true |
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flash_attention: true |
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torch_compile: true |
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gradient_checkpointing: false |
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deepspeed: deepspeed_configs/zero2.json |
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max_steps: 1200000 |
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eval_steps: 12000 |
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save_steps: 12000 |
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auto_resume_from_checkpoints: true |
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logging_steps: 1 |
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eval_max_new_tokens: 128 |
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eval_causal_lm_metrics: |
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- sacrebleu |
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wandb_project: cryptgpt-0.1 |
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wandb_name: cryptgpt-run-07 |
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``` |
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</details><br> |
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# cryptgpt |
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This model is a fine-tuned version of [diwank/cryptgpt](https://huggingface.co/diwank/cryptgpt) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2717 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0006 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 512 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 40912 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 10.9453 | 0.0000 | 1 | 10.9383 | |
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| 3.0117 | 0.2933 | 12000 | 2.8623 | |
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| 2.5234 | 0.5866 | 24000 | 2.4040 | |
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| 2.3398 | 0.8799 | 36000 | 2.2717 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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