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Model: Heralax/Augmentoolkit-DataSpecialist-v0.1 Source: Original Platform
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README.md
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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: Heralax/datagen-pretrain-v1-7b-mistralv0.2
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tags:
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- axolotl
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- generated_from_trainer
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datasets:
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- 29_mil_asstr.jsonl
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- 40mil_gutenberg.jsonl
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- hle-1_formatted_2mil.jsonl
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- 11_mil_fineweb.jsonl
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- multiturn_segments_shard_01.json
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- multiturn_segments_shard_02.json
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- singleturn_segments_shard_01.json
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- singleturn_segments_shard_02.json
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- openhermes2_5_shard_01.json
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- openhermes2_5_shard_02.json
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- openthoughts-1.parquet
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- openthoughts-2.parquet
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- qwq_10million.jsonl
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- bluemoon-6mil.json
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model-index:
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- name: datagen-sft-1
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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/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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axolotl version: `0.10.0.dev0`
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```yaml
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base_model: Heralax/datagen-pretrain-v1-7b-mistralv0.2
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tokenizer_type: AutoTokenizer
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model_type: AutoModelForCausalLM
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is_mistral_derived_model: true
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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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datasets:
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- path: 29_mil_asstr.jsonl
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ds_type: json
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type: completion
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- path: 40mil_gutenberg.jsonl
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type: completion
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- path: hle-1_formatted_2mil.jsonl
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type: completion
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- path: 11_mil_fineweb.jsonl
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type: completion
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- path: multiturn_segments_shard_01.json
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type: input_output
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- path: multiturn_segments_shard_02.json
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type: input_output
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- path: singleturn_segments_shard_01.json
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type: input_output
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- path: singleturn_segments_shard_02.json
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type: input_output
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- path: openhermes2_5_shard_01.json
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type: chat_template
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chat_template: chatml
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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roles:
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user:
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- human
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assistant:
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- gpt
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system:
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- system
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- path: openhermes2_5_shard_02.json
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type: chat_template
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chat_template: chatml
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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roles:
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user:
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- human
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assistant:
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- gpt
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system:
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- system
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- path: openthoughts-1.parquet
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type: chat_template
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chat_template: chatml
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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roles:
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user:
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- user
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assistant:
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- assistant
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system:
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- system
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- path: openthoughts-2.parquet
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type: chat_template
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chat_template: chatml
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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roles:
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user:
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- user
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assistant:
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- assistant
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system:
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- system
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- path: qwq_10million.jsonl
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type: chat_template
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chat_template: chatml
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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roles:
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user:
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- human
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assistant:
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- gpt
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system:
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- system
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- path: bluemoon-6mil.json
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type: chat_template
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chat_template: chatml
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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roles:
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user:
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- human
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assistant:
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- gpt
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system:
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- system
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dataset_prepared_path: last_run_prepared
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output_dir: ./datagen-pretrain-v1-7b-mistralv0.2
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seed: 11037
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hub_model_id: datagen-sft-1
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hub_strategy: every_save
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sequence_len: 20000
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sample_packing: true
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pad_to_sequence_len: false
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shuffle_merged_datasets: true
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wandb_project: datagen-pretrain-v1-7b-mistralv0.2
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wandb_entity:
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wandb_watch:
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wandb_run_id:
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wandb_log_model:
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gradient_accumulation_steps: 50
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micro_batch_size: 3
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eval_batch_size: 1
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num_epochs: 2
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optimizer: paged_adamw_8bit
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lr_scheduler: constant
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learning_rate: 0.000020
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weight_decay: 0
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train_on_inputs: true
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group_by_length: false
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bf16: true
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fp16: false
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tf32: false
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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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logging_steps: 1
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xformers_attention: false # faster
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flash_attention: true # slower than xformers
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chat_template: chatml
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# warmup_ratio: 0.5
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# warmup_steps: 0
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auto_resume_from_checkpoints: false
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warmup_ratio: 0.1
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evals_per_epoch: 1
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eval_batch_size: 4
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val_set_size: 0.01
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save_steps: 1000
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eval_sample_packing: false
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save_total_limit: 2 # NOTE you can afford many more saves with this config due to not storing optimizer states like with normal ones I think.
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debug:
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special_tokens:
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pad_token: "<unk>"
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use_liger_kernel: true
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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liger_rope: true
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liger_rms_norm: true
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liger_glu_activation: true
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liger_layer_norm: true
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liger_fused_linear_cross_entropy: true
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```
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</details><br>
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# datagen-sft-1
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This model is a fine-tuned version of [Heralax/datagen-pretrain-v1-7b-mistralv0.2](https://huggingface.co/Heralax/datagen-pretrain-v1-7b-mistralv0.2) on the 29_mil_asstr.jsonl, the 40mil_gutenberg.jsonl, the hle-1_formatted_2mil.jsonl, the 11_mil_fineweb.jsonl, the multiturn_segments_shard_01.json, the multiturn_segments_shard_02.json, the singleturn_segments_shard_01.json, the singleturn_segments_shard_02.json, the openhermes2_5_shard_01.json, the openhermes2_5_shard_02.json, the openthoughts-1.parquet, the openthoughts-2.parquet, the qwq_10million.jsonl and the bluemoon-6mil.json datasets.
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It achieves the following results on the evaluation set:
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- Loss: 0.6304
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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: 2e-05
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- train_batch_size: 3
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- eval_batch_size: 4
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- seed: 11037
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- gradient_accumulation_steps: 50
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- total_train_batch_size: 150
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_steps: 111
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- num_epochs: 2.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.4533 | 0.0018 | 1 | 2.4612 |
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| 0.5531 | 0.9999 | 558 | 0.6706 |
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| 0.5148 | 1.9981 | 1116 | 0.6304 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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26
config.json
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.51.3",
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"use_cache": false,
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"vocab_size": 32768
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}
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"_from_model_config": true,
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.51.3"
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}
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||||
}
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||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
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||||
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||||
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||||
},
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||||
"eos_token": {
|
||||
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||||
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||||
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||||
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||||
},
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||||
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||||
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||||
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||||
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||||
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|
||||
}
|
||||
}
|
||||
275733
tokenizer.json
Normal file
275733
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
|
||||
size 587404
|
||||
6188
tokenizer_config.json
Normal file
6188
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6002b13a405e351a8adaf299b27ff4281ec9757973e9a51a7416ff98f71f0330
|
||||
size 6968
|
||||
Reference in New Issue
Block a user