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Aivesa
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fd35b19c-d072-42cd-a87a-9b420f48b2cf

PEFT
Safetensors
olmo
axolotl
Generated from Trainer
Model card Files Community
Aivesa commited on
Commit
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Training in progress, step 3

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Files changed (12) hide show
  1. README.md +154 -0
  2. adapter_config.json +37 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +3 -0
  5. config.json +29 -0
  6. merges.txt +0 -0
  7. special_tokens_map.json +16 -0
  8. tokenizer.json +0 -0
  9. tokenizer.model +3 -0
  10. tokenizer_config.json +248 -0
  11. training_args.bin +3 -0
  12. vocab.json +0 -0
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: llama2
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+ base_model: codellama/CodeLlama-7b-hf
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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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+ - Aivesa/dataset_94f2e377-9724-4e56-8e70-b3ffcec65e76
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+ model-index:
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+ - name: cc9d165b-dd47-4489-b8bd-c39fa0314206
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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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+ adapter: lora
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+ base_model: codellama/CodeLlama-7b-hf
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+ bf16: auto
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+ chat_template: llama3
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+ dataset_prepared_path: /workspace/axolotl/data/prepared
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+ datasets:
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+ - ds_type: json
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+ format: custom
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+ path: Aivesa/dataset_94f2e377-9724-4e56-8e70-b3ffcec65e76
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+ type:
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+ field_input: dominio
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+ field_instruction: tarea
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+ field_output: question
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+ system_format: '{system}'
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+ system_prompt: ''
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+ debug: null
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+ deepspeed: null
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+ early_stopping_patience: null
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+ eval_max_new_tokens: 128
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+ eval_table_size: null
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+ evals_per_epoch: 4
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+ flash_attention: false
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+ fp16: null
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+ fsdp: null
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+ fsdp_config: null
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+ gradient_accumulation_steps: 4
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+ gradient_checkpointing: false
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+ group_by_length: false
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+ hub_model_id: Aivesa/cc9d165b-dd47-4489-b8bd-c39fa0314206
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+ hub_private_repo: true
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+ hub_repo: null
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+ hub_strategy: checkpoint
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+ hub_token: null
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+ learning_rate: 0.0002
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+ load_in_4bit: false
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+ load_in_8bit: false
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+ local_rank: null
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+ logging_steps: 1
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+ lora_alpha: 16
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+ lora_dropout: 0.05
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+ lora_fan_in_fan_out: null
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+ lora_model_dir: null
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+ lora_r: 8
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+ lora_target_linear: true
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+ lr_scheduler: cosine
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+ max_steps: 10
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+ micro_batch_size: 2
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+ model_type: AutoModelForCausalLM
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+ num_epochs: 1
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+ optimizer: adamw_bnb_8bit
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+ output_dir: /workspace/axolotl/outputs
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+ pad_to_sequence_len: true
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+ push_to_hub: true
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+ resume_from_checkpoint: null
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+ s2_attention: null
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+ sample_packing: false
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+ save_safetensors: true
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+ saves_per_epoch: 4
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+ sequence_len: 512
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+ special_tokens:
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+ pad_token: </s>
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+ strict: false
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+ tf32: false
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+ tokenizer_type: AutoTokenizer
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+ train_on_inputs: false
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+ trust_remote_code: true
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+ use_accelerate: true
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+ val_set_size: 0.05
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+ wandb_entity: null
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+ wandb_mode: online
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+ wandb_name: 94f2e377-9724-4e56-8e70-b3ffcec65e76
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+ wandb_project: Gradients-On-Demand
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+ wandb_run: your_name
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+ wandb_runid: 94f2e377-9724-4e56-8e70-b3ffcec65e76
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+ warmup_steps: 10
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+ weight_decay: 0.0
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+ xformers_attention: null
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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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+ # cc9d165b-dd47-4489-b8bd-c39fa0314206
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+
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+ This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the Aivesa/dataset_94f2e377-9724-4e56-8e70-b3ffcec65e76 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3245
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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: 0.0002
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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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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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+ - optimizer: Use adamw_bnb_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: 10
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+ - training_steps: 10
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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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+ | 2.1445 | 0.0073 | 3 | 2.3860 |
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+ | 2.0854 | 0.0145 | 6 | 2.3669 |
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+ | 2.2885 | 0.0218 | 9 | 2.3245 |
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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 2.5.0a0+e000cf0ad9.nv24.10
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+ - Datasets 3.1.0
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+ - Tokenizers 0.21.0
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "loftq_config": {},
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "target_modules": [
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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