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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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+ library_name: peft
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+ license: apache-2.0
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+ base_model: allura-org/Teleut-7b
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - allura-org/neon-41k
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+ model-index:
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+ - name: ckpts
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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: `0.6.0`
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+ ```yaml
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+ base_model: allura-org/Teleut-7b
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+
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+ load_in_8bit: true
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+ load_in_4bit: false
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+
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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_fused_linear_cross_entropy: true
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+
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+ #unsloth_lora_mlp: true
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+ #unsloth_lora_qkv: true
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+ #unsloth_lora_o: true
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+
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+ strict: false
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+
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+ adapter: lora
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+ lora_r: 16
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+ lora_alpha: 32
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+ lora_dropout: 0.25
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+ lora_target_modules:
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+ - q_proj
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+ - v_proj
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+ - k_proj
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+ - o_proj
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+ lora_target_linear: true
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+ peft_layers_to_transform:
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+ loraplus_lr_ratio: 16
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+
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+ chat_template: chatml
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+ datasets:
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+ - path: allura-org/neon-41k
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+ type: chat_template
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+ split: train
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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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+
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+ dataset_prepared_path: last_run_prepared
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+ #val_set_size: 0.02
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+ output_dir: ./ckpts
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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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+ #wandb_project: teleut-7b-rp
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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: checkpoint
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+
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+ # mlflow configuration if you're using it
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+ mlflow_tracking_uri: https://public-tracking.mlflow-e00zzfjq11ky6jcgtv.backbone-e00bgn6e63256prmhq.msp.eu-north1.nebius.cloud
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+ mlflow_experiment_name: teleut-7b-rp
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+ mlflow_run_name: v1
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+ hf_mlflow_log_artifacts: true
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+
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+ gradient_accumulation_steps: 1
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+ micro_batch_size: 12
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+ num_epochs: 1
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+ optimizer: paged_adamw_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 6e-5
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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: unsloth
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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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+ #deepspeed: deepspeed_configs/zero3_bf16.json
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+
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+ warmup_steps: 25
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+ #evals_per_epoch: 4
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+ eval_table_size:
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+ saves_per_epoch: 25
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+ debug:
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+ weight_decay: 0.01
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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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+ # ckpts
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+
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+ This model is a fine-tuned version of [allura-org/Teleut-7b](https://huggingface.co/allura-org/Teleut-7b) on the allura-org/neon-41k 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: 6e-05
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+ - train_batch_size: 12
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+ - eval_batch_size: 12
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+ - seed: 42
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+ - optimizer: Use 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: cosine
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+ - lr_scheduler_warmup_steps: 25
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+ - num_epochs: 1
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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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+ - PEFT 0.14.0
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.1.0
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+ - Tokenizers 0.21.0
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