End of training

README.md

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+---
+library_name: peft
+license: other
+base_model: facebook/opt-125m
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 18092189-46f9-4027-aa36-175d1e605e4a
+  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
+auto_resume_from_checkpoints: true
+base_model: facebook/opt-125m
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+dataset_processes: 6
+datasets:
+- data_files:
+  - 818f8460304dc8f3_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/818f8460304dc8f3_train_data.json
+  type:
+    field_input: hypothesis
+    field_instruction: premise
+    field_output: augmented_hypothesis
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 200
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: error577/18092189-46f9-4027-aa36-175d1e605e4a
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 64
+lora_dropout: 0.1
+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: null
+micro_batch_size: 24
+mlflow_experiment_name: /tmp/818f8460304dc8f3_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+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: 200
+sequence_len: 256
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.005
+wandb_entity: null
+wandb_mode: online
+wandb_name: af50a6d4-247f-4e76-817b-1cfd6dd7131d
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: af50a6d4-247f-4e76-817b-1cfd6dd7131d
+warmup_steps: 30
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 18092189-46f9-4027-aa36-175d1e605e4a
+
+This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1241
+
+## 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: 0.0002
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 96
+- 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: 30
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 12.7141       | 0.0005 | 1    | 3.1690          |
+| 1.3992        | 0.0960 | 200  | 0.3349          |
+| 1.0472        | 0.1921 | 400  | 0.2430          |
+| 0.883         | 0.2881 | 600  | 0.2006          |
+| 0.7357        | 0.3842 | 800  | 0.1706          |
+| 0.7221        | 0.4802 | 1000 | 0.1574          |
+| 0.7825        | 0.5763 | 1200 | 0.1546          |
+| 0.5444        | 0.6723 | 1400 | 0.1439          |
+| 0.6198        | 0.7684 | 1600 | 0.1449          |
+| 0.5838        | 0.8644 | 1800 | 0.1378          |
+| 0.5814        | 0.9605 | 2000 | 0.1363          |
+| 0.552         | 1.0565 | 2200 | 0.1346          |
+| 0.5699        | 1.1526 | 2400 | 0.1337          |
+| 0.5114        | 1.2486 | 2600 | 0.1359          |
+| 0.5164        | 1.3447 | 2800 | 0.1310          |
+| 0.4851        | 1.4407 | 3000 | 0.1314          |
+| 0.4927        | 1.5368 | 3200 | 0.1320          |
+| 0.485         | 1.6328 | 3400 | 0.1287          |
+| 0.5204        | 1.7289 | 3600 | 0.1270          |
+| 0.5643        | 1.8249 | 3800 | 0.1277          |
+| 0.525         | 1.9210 | 4000 | 0.1275          |
+| 0.4682        | 2.0170 | 4200 | 0.1264          |
+| 0.5078        | 2.1131 | 4400 | 0.1259          |
+| 0.5088        | 2.2091 | 4600 | 0.1257          |
+| 0.5096        | 2.3052 | 4800 | 0.1250          |
+| 0.5158        | 2.4012 | 5000 | 0.1252          |
+| 0.5353        | 2.4973 | 5200 | 0.1241          |
+| 0.5068        | 2.5933 | 5400 | 0.1242          |
+| 0.5512        | 2.6894 | 5600 | 0.1241          |
+| 0.472         | 2.7854 | 5800 | 0.1242          |
+| 0.4644        | 2.8815 | 6000 | 0.1242          |
+| 0.47          | 2.9775 | 6200 | 0.1241          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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