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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: cyberagent/Mistral-Nemo-Japanese-Instruct-2408
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: outputs/mistral-nemo-webnovels
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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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ base_model: cyberagent/Mistral-Nemo-Japanese-Instruct-2408
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+ tokenizer_type: AutoTokenizer
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+
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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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+
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+ chat_template: chatml
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+ datasets:
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+ - path: falche/paradox_test_set_200k_sharegpt
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+ type: sharegpt
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+ dataset_prepared_path: last_run_prepared
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+ val_set_size: 0.05
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+ output_dir: ./outputs/mistral-nemo-webnovels
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+
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+ sequence_len: 8192
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+
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+ use_wandb: true
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+ wandb_project: mistral-nemo-webnovels
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+ wandb_entity: augmxnt
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+ wandb_name: mi300x-cyberagent_mistral_nemo_webnovels-fft-dsz3
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+
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+ gradient_accumulation_steps: 1
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+ micro_batch_size: 8
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+ num_epochs: 3
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+ optimizer: paged_adamw_8bit
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+ lr_scheduler: linear
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+ learning_rate: 8e-6
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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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+ gradient_checkpointing_kwargs:
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+ use_reentrant: false
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention: true
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+
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+ warmup_steps: 100
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+ evals_per_epoch: 2
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+ eval_table_size:
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+ saves_per_epoch: 1
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+ debug:
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+ deepspeed: axolotl/deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.0
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ pad_token: <|end_of_text|>
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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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+ # outputs/mistral-nemo-webnovels
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+
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+ This model is a fine-tuned version of [cyberagent/Mistral-Nemo-Japanese-Instruct-2408](https://huggingface.co/cyberagent/Mistral-Nemo-Japanese-Instruct-2408) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6891
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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: 8e-06
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 64
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+ - total_eval_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 3
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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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+ | 2.6086 | 0.0008 | 1 | 2.5794 |
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+ | 1.8703 | 0.5 | 615 | 1.8224 |
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+ | 1.7873 | 1.0 | 1230 | 1.7534 |
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+ | 1.6708 | 1.4976 | 1845 | 1.7214 |
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+ | 1.6567 | 1.9976 | 2460 | 1.6919 |
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+ | 1.501 | 2.4951 | 3075 | 1.6984 |
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+ | 1.5237 | 2.9951 | 3690 | 1.6891 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.5.0+rocm6.2
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
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+ "MistralForCausalLM"
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+ "attention_dropout": 0.0,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 10,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.45.2",
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+ "use_cache": false,
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+ "vocab_size": 131075
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+ }
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