End of training

README.md

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+---
+library_name: peft
+base_model: hf-tiny-model-private/tiny-random-OPTForCausalLM
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 942cfd35-534e-4ab7-9dd2-335ce292d7c2
+  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: hf-tiny-model-private/tiny-random-OPTForCausalLM
+bf16: true
+chat_template: llama3
+dataloader_num_workers: 6
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 9742221b6e81649f_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/9742221b6e81649f_train_data.json
+  type:
+    field_input: language
+    field_instruction: company
+    field_output: sentence
+    format: '{instruction} {input}'
+    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: 200
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: true
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+group_by_length: true
+hub_model_id: error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2
+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: 16
+lora_dropout: 0.3
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 8
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 3500
+micro_batch_size: 16
+mlflow_experiment_name: /tmp/9742221b6e81649f_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: 200
+sequence_len: 64
+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: 1be7f53b-7c51-4d01-9396-e086bf3f09dd
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 1be7f53b-7c51-4d01-9396-e086bf3f09dd
+warmup_steps: 10
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 942cfd35-534e-4ab7-9dd2-335ce292d7c2
+
+This model is a fine-tuned version of [hf-tiny-model-private/tiny-random-OPTForCausalLM](https://huggingface.co/hf-tiny-model-private/tiny-random-OPTForCausalLM) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.9015
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- 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: 3500
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 27.7344       | 0.0025 | 1    | 6.9353          |
+| 27.4324       | 0.5057 | 200  | 6.9087          |
+| 27.6605       | 1.0114 | 400  | 6.9080          |
+| 27.6448       | 1.5171 | 600  | 6.9054          |
+| 27.6474       | 2.0228 | 800  | 6.9055          |
+| 27.6403       | 2.5284 | 1000 | 6.9049          |
+| 27.6381       | 3.0341 | 1200 | 6.9040          |
+| 27.6395       | 3.5398 | 1400 | 6.9025          |
+| 27.6276       | 4.0455 | 1600 | 6.9028          |
+| 27.6327       | 4.5512 | 1800 | 6.9028          |
+| 27.6274       | 5.0569 | 2000 | 6.9020          |
+| 27.6326       | 5.5626 | 2200 | 6.9019          |
+| 27.6167       | 6.0683 | 2400 | 6.9010          |
+| 27.645        | 6.5740 | 2600 | 6.9005          |
+| 27.6261       | 7.0796 | 2800 | 6.9017          |
+| 27.6214       | 7.5853 | 3000 | 6.9015          |
+| 27.6217       | 8.0910 | 3200 | 6.9016          |
+| 27.6327       | 8.5967 | 3400 | 6.9015          |
+
+
+### 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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