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SE6446
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Phasmid-2_v2

Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
phi
axolotl
Generated from Trainer
custom_code
text-generation-inference
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  1. README.md +161 -0
  2. generation_config.json +4 -0
  3. model-00001-of-00002.safetensors +3 -0
  4. model-00002-of-00002.safetensors +3 -0
  5. model.safetensors.index.json +332 -0
  6. pytorch_model-00001-of-00002.bin +3 -0
  7. pytorch_model-00002-of-00002.bin +3 -0
  8. pytorch_model.bin.index.json +332 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/phi-2
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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: Phasmid-2_v2
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+ results: []
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+ ---
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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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+
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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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+
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+ axolotl version: `0.3.0`
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+ ```yaml
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+ base_model: microsoft/phi-2
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+ model_type: PhiForCausalLM
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+ tokenizer_type: AutoTokenizer
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+ is_llama_derived_model: false
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+ trust_remote_code: true
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ datasets:
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+ - path: SE6446/SE6446_phasmid_ds
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+ type: completion
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+
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+ hub_model_id: SE6446/Phasmid-2_v2
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+ hub_strategy: every_save
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+ use_auth_token: true
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+ dataset_prepared_path: /phasmid-2-ds-path
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+ val_set_size: 0.05
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+ output_dir: ./phasmid-sft-out
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+
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+ sequence_len: 2048
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+ sample_packing: true
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+ pad_to_sequence_len:
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+
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+ adapter:
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+ lora_model_dir:
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+ lora_r:
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+ lora_alpha:
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+ lora_dropout:
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+ lora_target_linear:
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+ lora_fan_in_fan_out:
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+
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+ wandb_project:
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name:
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 1
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+ micro_batch_size: 1
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+ num_epochs: 4
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+ optimizer: adamw_torch
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+ adam_beta2: 0.95
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+ adam_epsilon: 0.00001
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+ max_grad_norm: 1.0
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+ lr_scheduler: cosine
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+ learning_rate: 0.0003
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+
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+ train_on_inputs: false
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+ group_by_length: true
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+ bf16: true
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+ fp16: false
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+ tf32: true
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+
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+ gradient_checkpointing:
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ local_rank:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention:
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+
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+ warmup_steps: 100
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+ evals_per_epoch: 4
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+ saves_per_epoch: 1
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+ debug:
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+ deepspeed:
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+ weight_decay: 0.1
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+ fsdp:
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+ fsdp_config:
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+ resize_token_embeddings_to_32x: true
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+ special_tokens:
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+ bos_token: "<|endoftext|>"
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+ eos_token: "<|endoftext|>"
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+ unk_token: "<|endoftext|>"
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+ pad_token: "<|endoftext|>"
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+
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+ ```
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+
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+ </details><br>
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+
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+ # Phasmid-2_v2
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+
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+ This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2924
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 2.3313 | 0.0 | 1 | 2.1374 |
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+ | 2.5755 | 0.25 | 1319 | 2.5281 |
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+ | 2.4864 | 0.5 | 2638 | 2.5314 |
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+ | 2.0961 | 0.75 | 3957 | 2.4697 |
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+ | 2.6547 | 1.0 | 5276 | 2.4213 |
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+ | 2.1235 | 1.24 | 6595 | 2.3926 |
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+ | 1.8875 | 1.49 | 7914 | 2.3233 |
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+ | 0.9059 | 1.74 | 9233 | 2.2590 |
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+ | 2.2046 | 1.99 | 10552 | 2.1985 |
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+ | 1.1938 | 2.23 | 11871 | 2.2555 |
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+ | 1.1425 | 2.48 | 13190 | 2.2393 |
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+ | 0.6688 | 2.73 | 14509 | 2.2237 |
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+ | 1.1111 | 2.98 | 15828 | 2.2126 |
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+ | 0.651 | 3.21 | 17147 | 2.2859 |
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+ | 0.8669 | 3.46 | 18466 | 2.2914 |
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+ | 0.4149 | 3.71 | 19785 | 2.2924 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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