End of training

README.md

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+---
+library_name: peft
+base_model: jingyeom/seal3.1.6n_7b
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: d1949c4a-0a6f-4ea8-9a91-961471599334
+  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: jingyeom/seal3.1.6n_7b
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - deb59464c0a667a1_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/deb59464c0a667a1_train_data.json
+  type:
+    field_instruction: question
+    field_output: answer
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 30
+eval_max_new_tokens: 128
+eval_steps: 50
+eval_table_size: null
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 16
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Romain-XV/d1949c4a-0a6f-4ea8-9a91-961471599334
+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: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: true
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+lr_scheduler: cosine
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/deb59464c0a667a1_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 2
+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: 100
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 2379ea32-7a7b-48aa-9667-b04a8ab9542e
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 2379ea32-7a7b-48aa-9667-b04a8ab9542e
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# d1949c4a-0a6f-4ea8-9a91-961471599334
+
+This model is a fine-tuned version of [jingyeom/seal3.1.6n_7b](https://huggingface.co/jingyeom/seal3.1.6n_7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- 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
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0           | 0.0005 | 1    | nan             |
+| 0.0           | 0.0273 | 50   | nan             |
+| 0.0           | 0.0547 | 100  | nan             |
+| 0.0           | 0.0820 | 150  | nan             |
+| 0.0           | 0.1093 | 200  | nan             |
+| 0.0           | 0.1366 | 250  | nan             |
+| 0.0           | 0.1640 | 300  | nan             |
+| 0.0           | 0.1913 | 350  | nan             |
+| 0.0           | 0.2186 | 400  | nan             |
+| 0.0           | 0.2460 | 450  | nan             |
+| 0.0           | 0.2733 | 500  | nan             |
+| 0.0           | 0.3006 | 550  | nan             |
+| 0.0           | 0.3279 | 600  | nan             |
+| 0.0           | 0.3553 | 650  | nan             |
+| 0.0           | 0.3826 | 700  | nan             |
+| 0.0           | 0.4099 | 750  | nan             |
+| 0.0           | 0.4372 | 800  | nan             |
+| 0.0           | 0.4646 | 850  | nan             |
+| 0.0           | 0.4919 | 900  | nan             |
+| 0.0           | 0.5192 | 950  | nan             |
+| 0.0           | 0.5466 | 1000 | nan             |
+| 0.0           | 0.5739 | 1050 | nan             |
+| 0.0           | 0.6012 | 1100 | nan             |
+| 0.0           | 0.6285 | 1150 | nan             |
+| 0.0           | 0.6559 | 1200 | nan             |
+| 0.0           | 0.6832 | 1250 | nan             |
+| 0.0           | 0.7105 | 1300 | nan             |
+| 0.0           | 0.7379 | 1350 | nan             |
+| 0.0           | 0.7652 | 1400 | nan             |
+| 0.0           | 0.7925 | 1450 | nan             |
+| 0.0           | 0.8198 | 1500 | nan             |
+| 0.0           | 0.8472 | 1550 | nan             |
+| 0.0           | 0.8745 | 1600 | nan             |
+
+
+### 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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