End of training

README.md

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+---
+library_name: peft
+base_model: EleutherAI/pythia-14m
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 69b7eea5-e651-4261-bbe7-dff9a84f0402
+  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: qlora
+base_model: EleutherAI/pythia-14m
+bf16: auto
+chat_template: llama3
+dataloader_num_workers: 6
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 802c9640ea62abdd_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/802c9640ea62abdd_train_data.json
+  type:
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping:
+  metric: eval_loss
+  mode: min
+  patience: 3
+eval_max_new_tokens: 128
+eval_steps: 20
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 16
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: error577/69b7eea5-e651-4261-bbe7-dff9a84f0402
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0003
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 64
+lora_dropout: 0.3
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 300
+micro_batch_size: 1
+mlflow_experiment_name: /tmp/802c9640ea62abdd_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 50
+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: 20
+sequence_len: 512
+special_tokens:
+  pad_token: <|endoftext|>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.02
+wandb_entity: null
+wandb_mode: online
+wandb_name: 8ea0398e-a0bd-403d-bf23-7a1713ec2e02
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 8ea0398e-a0bd-403d-bf23-7a1713ec2e02
+warmup_steps: 10
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 69b7eea5-e651-4261-bbe7-dff9a84f0402
+
+This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 8.7804
+
+## 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: 0.0003
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 300
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 118.0917      | 0.0007 | 1    | 15.7435         |
+| 91.0717       | 0.0132 | 20   | 15.4725         |
+| 220.4361      | 0.0264 | 40   | 16.9799         |
+| 119.3659      | 0.0396 | 60   | 16.1753         |
+| 194.2475      | 0.0528 | 80   | 21.7871         |
+| 116.0362      | 0.0660 | 100  | 9.9620          |
+| 89.6598       | 0.0792 | 120  | 12.7886         |
+| 101.8808      | 0.0924 | 140  | 10.7512         |
+| 98.0636       | 0.1056 | 160  | 11.3606         |
+| 257.9727      | 0.1189 | 180  | 9.8128          |
+| 118.2566      | 0.1321 | 200  | 8.8693          |
+| 88.1685       | 0.1453 | 220  | 9.6910          |
+| 89.4133       | 0.1585 | 240  | 8.8560          |
+| 92.8052       | 0.1717 | 260  | 8.8088          |
+| 316.9688      | 0.1849 | 280  | 8.8240          |
+| 106.2684      | 0.1981 | 300  | 8.7804          |
+
+
+### 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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