End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: TinyLlama/TinyLlama_v1.1
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 046b85c9-23cf-42fa-ad72-faea29e54f78
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: lora
+base_model: TinyLlama/TinyLlama_v1.1
+bf16: true
+chat_template: llama3
+data_processes: 24
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - f6627dfddf7998ee_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/f6627dfddf7998ee_train_data.json
+  type:
+    field_input: traj_0_response
+    field_instruction: prompt
+    field_output: traj_0_solution_0
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: auto
+early_stopping_patience: 4
+eval_batch_size: 4
+eval_max_new_tokens: 128
+eval_steps: 50
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: false
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: cilooor/046b85c9-23cf-42fa-ad72-faea29e54f78
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 7.0e-05
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 64
+lora_dropout: 0.07
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+lr_scheduler_warmup_steps: 50
+max_grad_norm: 0.3
+max_memory:
+  0: 75GB
+max_steps: 200
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/f6627dfddf7998ee_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  adam_epsilon: 1e-8
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 50
+saves_per_epoch: null
+seed: 17333
+sequence_len: 1024
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+total_train_batch_size: 32
+train_batch_size: 8
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 41e012f9-ee25-49ae-abe0-b64021ea6e9d
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 41e012f9-ee25-49ae-abe0-b64021ea6e9d
+warmup_steps: 30
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 046b85c9-23cf-42fa-ad72-faea29e54f78
+
+This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1](https://huggingface.co/TinyLlama/TinyLlama_v1.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8387
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 7e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 17333
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.999,adam_epsilon=1e-8
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 30
+- training_steps: 200
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.7648        | 0.0005 | 1    | 1.3696          |
+| 1.1307        | 0.0273 | 50   | 0.9475          |
+| 1.0357        | 0.0547 | 100  | 0.8693          |
+| 0.9074        | 0.0820 | 150  | 0.8440          |
+| 0.9893        | 0.1093 | 200  | 0.8387          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

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