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--- |
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library_name: transformers |
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base_model: NewEden/Hamanasu-KTO-V2 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- PocketDoc/Dans-Personamaxx-Logs |
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- anthracite-org/kalo-opus-instruct-22k-no-refusal |
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- lodrick-the-lafted/kalo-opus-instruct-3k-filtered |
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- anthracite-org/nopm_claude_writing_fixed |
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- anthracite-org/kalo_opus_misc_240827 |
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- anthracite-org/kalo_misc_part2 |
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- NewEden/Claude-Instruct-5K |
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- NewEden/Claude-Instruct-2.7K |
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model-index: |
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- name: outputs/out |
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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: `0.8.0.dev0` |
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```yaml |
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base_model: NewEden/Hamanasu-KTO-V2 |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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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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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
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liger_rope: true |
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liger_rms_norm: true |
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liger_layer_norm: true |
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liger_glu_activation: true |
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liger_fused_linear_cross_entropy: false |
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cut_cross_entropy: true |
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datasets: |
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- path: PocketDoc/Dans-Personamaxx-Logs |
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type: dan-chat-advanced |
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- path: anthracite-org/kalo-opus-instruct-22k-no-refusal |
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type: dan-chat-advanced |
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- path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered |
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type: dan-chat-advanced |
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- path: anthracite-org/nopm_claude_writing_fixed |
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type: dan-chat-advanced |
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- path: anthracite-org/kalo_opus_misc_240827 |
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type: dan-chat-advanced |
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- path: anthracite-org/kalo_misc_part2 |
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type: dan-chat-advanced |
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- path: NewEden/Claude-Instruct-5K |
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type: dan-chat-advanced |
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- path: NewEden/Claude-Instruct-2.7K |
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type: dan-chat-advanced |
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val_set_size: 0.01 |
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output_dir: ./outputs/out |
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adapter: |
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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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sequence_len: 32768 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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wandb_project: tavbussy |
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wandb_entity: |
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wandb_watch: |
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wandb_name: magnum-attempt-02 |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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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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learning_rate: 0.00001 |
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weight_decay: 0.02 |
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max_grad_norm: 0.2 |
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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: true |
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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: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 40 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: ./deepspeed_configs/zero3_bf16.json |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <|finetune_right_pad_id|> |
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``` |
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</details><br> |
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# outputs/out |
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This model is a fine-tuned version of [NewEden/Hamanasu-KTO-V2](https://huggingface.co/NewEden/Hamanasu-KTO-V2) on the PocketDoc/Dans-Personamaxx-Logs, the anthracite-org/kalo-opus-instruct-22k-no-refusal, the lodrick-the-lafted/kalo-opus-instruct-3k-filtered, the anthracite-org/nopm_claude_writing_fixed, the anthracite-org/kalo_opus_misc_240827, the anthracite-org/kalo_misc_part2, the NewEden/Claude-Instruct-5K and the NewEden/Claude-Instruct-2.7K datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2656 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 40 |
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- num_epochs: 4.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.46 | 0.0109 | 1 | 1.4717 | |
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| 1.3692 | 0.2514 | 23 | 1.3862 | |
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| 1.3288 | 0.5027 | 46 | 1.3275 | |
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| 1.2979 | 0.7541 | 69 | 1.3008 | |
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| 2.4633 | 1.0109 | 92 | 1.2825 | |
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| 1.1345 | 1.2623 | 115 | 1.2762 | |
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| 1.1809 | 1.5137 | 138 | 1.2668 | |
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| 1.145 | 1.7650 | 161 | 1.2586 | |
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| 1.0191 | 2.0219 | 184 | 1.2563 | |
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| 1.0526 | 2.2732 | 207 | 1.2644 | |
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| 1.0341 | 2.5246 | 230 | 1.2593 | |
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| 1.0394 | 2.7760 | 253 | 1.2562 | |
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| 0.9845 | 3.0328 | 276 | 1.2571 | |
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| 0.9583 | 3.2842 | 299 | 1.2655 | |
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| 0.9715 | 3.5355 | 322 | 1.2659 | |
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| 0.9463 | 3.7869 | 345 | 1.2656 | |
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### Framework versions |
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- Transformers 4.50.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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