diwank
/

cryptgpt-large

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 ---
-library_name: transformers
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 ---
-# Model Card for Model ID
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 ---
+base_model: diwank/cryptgpt-large
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: cryptgpt-large
+  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
+# See:
+# - https://github.com/karpathy/nanoGPT/blob/master/config/train_gpt2.py#L1
+# - https://github.com/OpenAccess-AI-Collective/axolotl/blob/main/examples/tiny-llama/pretrain.yml#L14
+# - https://github.com/karpathy/nanoGPT/blob/master/train.py#L35
+base_model: diwank/cryptgpt-large
+hub_model_id: diwank/cryptgpt-large
+model_type: GPT2LMHeadModel
+tokenizer_type: AutoTokenizer
+trust_remote_code: true  # required for CryptGPTTokenizer
+resize_token_embeddings_to_32x: true
+output_dir: ./outputs/model-out
+datasets:
+  - path: diwank/encrypted-openwebtext
+    type: completion
+dataset_prepared_path: ./cryptgpt-prepared-dataset
+val_set_size: 0.04
+shuffle_merged_datasets: false
+sequence_len: 1024
+pad_to_sequence_len: true
+sample_packing: false
+pretrain_multipack_attn: false
+train_on_inputs: true
+gradient_accumulation_steps: 1
+micro_batch_size: 128
+optimizer: adamw_bnb_8bit
+adam_beta1: 0.9
+adam_beta2: 0.95
+seed: 42
+lr_scheduler: cosine
+learning_rate: 6e-4
+cosine_min_lr_ratio: 0.1  # min: 6e-5
+weight_decay: 0.15
+bf16: auto
+tf32: true
+flash_attention: true
+torch_compile: true
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+deepspeed: deepspeed_configs/zero2.json
+epochs: 20  # overriden by max_steps
+max_steps: 600000
+eval_steps: 12000
+save_steps: 12000
+save_total_limit: 3
+early_stopping_patience: 3
+auto_resume_from_checkpoints: true
+logging_steps: 1
+eval_max_new_tokens: 128
+eval_causal_lm_metrics:
+  - sacrebleu
+wandb_project: cryptgpt-large-0.1
+wandb_name: cryptgpt-large-run-04
+```
+</details><br>
+# cryptgpt-large
+This model is a fine-tuned version of [diwank/cryptgpt-large](https://huggingface.co/diwank/cryptgpt-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8034
+## 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: 0.0006
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 1024
+- total_eval_batch_size: 1024
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 20456
+### Training results
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 15.7656       | 0.0000 | 1     | 15.4910         |
+| 1.8545        | 0.5866 | 12000 | 1.8034          |
+### Framework versions
+- Transformers 4.41.1
+- Pytorch 2.1.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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