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End of training

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: CohereForAI/c4ai-command-r-v01
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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: command-r-ja-sharegpt
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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: `0.4.0`
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+ ```yaml
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+ base_model: CohereForAI/c4ai-command-r-v01
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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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+ hub_model_id: yentinglin/command-r-ja-sharegpt
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+ hub_strategy: end
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+
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+ datasets:
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+ - path: NTQAI/sharegpt-clean-ja
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+ type: sharegpt
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+ conversation: chatml
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+
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+ chat_template: chatml
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+ dataset_prepared_path: last_run_prepared
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+ val_set_size: 0
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+ output_dir: ./output/ja/sft/command-r/sharegpt/
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+
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+ sequence_len: 4096
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+ sample_packing: false
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+ eval_sample_packing: false
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+ pad_to_sequence_len: true
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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: JA-LLM
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name: sft-fft-command-r-sharegpt-clean-ja
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+ wandb_run_id:
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 8
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+ micro_batch_size: 1
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+ num_epochs: 4
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+ optimizer: adamw_bnb_8bit
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+ lr_scheduler: cosine
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+ cosine_min_lr_ratio: 0.1 # decay lr to some percentage of the peak lr, e.g. cosine_min_lr_ratio=0.1 for 10% of peak lr
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+ learning_rate: 1e-5
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+ adam_beta1: 0.9
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+ adam_beta2: 0.95
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+ adam_eps: 0.00001
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+ max_grad_norm: 1.0
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: true
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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: 5
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+ xformers_attention:
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+ flash_attention: true
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+ flash_attn_cross_entropy: false
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+ flash_attn_rms_norm: true
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+ flash_attn_fuse_qkv: false
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+ flash_attn_fuse_mlp: true
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+
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+ warmup_ratio: 0.02 # cannot use with warmup_steps
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+ evals_per_epoch: 1
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+ eval_table_size:
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+ save_per_epoch: 1
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+ save_total_limit: 1
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+ debug:
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+ deepspeed: deepspeed_configs/zero3_bf16.json # multi-gpu only
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+ weight_decay: 0.001
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+
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+ ddp_timeout: 180000
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+
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+ special_tokens:
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+ eos_token: "<|im_end|>"
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+ tokens:
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+ - "<|im_start|>"
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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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+ # command-r-ja-sharegpt
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+
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+ This model is a fine-tuned version of [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01) on the None dataset.
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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: 1e-05
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 8
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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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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0.dev0
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+ - Pytorch 2.1.2+cu118
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.0
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+ "intermediate_size": 22528,
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+ "use_cache": false,
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+ "vocab_size": 256000
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+ }
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