End of training

README.md

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+---
+library_name: peft
+base_model: Vikhrmodels/Vikhr-7B-instruct_0.4
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 05d59197-7c98-4818-9e6e-c77b6e385888
+  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: Vikhrmodels/Vikhr-7B-instruct_0.4
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 723928d8104e1c8a_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/723928d8104e1c8a_train_data.json
+  type:
+    field_instruction: Patient
+    field_output: Doctor
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 2
+gradient_checkpointing: false
+group_by_length: false
+hub_model_id: error577/05d59197-7c98-4818-9e6e-c77b6e385888
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 5e-5
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 32
+lora_dropout: 0.1
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 8
+lora_target_linear: true
+lr_scheduler: cosine
+max_steps: 50
+micro_batch_size: 1
+mlflow_experiment_name: /tmp/723928d8104e1c8a_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 10
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+saves_per_epoch: 4
+sequence_len: 128
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 47226bcf-dfed-4181-b278-365e98dd667f
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 47226bcf-dfed-4181-b278-365e98dd667f
+warmup_steps: 500
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 05d59197-7c98-4818-9e6e-c77b6e385888
+
+This model is a fine-tuned version of [Vikhrmodels/Vikhr-7B-instruct_0.4](https://huggingface.co/Vikhrmodels/Vikhr-7B-instruct_0.4) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2817
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 2
+- 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: 500
+- training_steps: 50
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.1297        | 0.0012 | 1    | 3.3359          |
+| 3.1984        | 0.0023 | 2    | 3.3361          |
+| 2.7216        | 0.0047 | 4    | 3.3362          |
+| 5.7524        | 0.0070 | 6    | 3.3366          |
+| 3.2113        | 0.0094 | 8    | 3.3358          |
+| 3.5036        | 0.0117 | 10   | 3.3358          |
+| 3.173         | 0.0140 | 12   | 3.3357          |
+| 3.5056        | 0.0164 | 14   | 3.3350          |
+| 3.5737        | 0.0187 | 16   | 3.3337          |
+| 3.3298        | 0.0211 | 18   | 3.3328          |
+| 3.2996        | 0.0234 | 20   | 3.3321          |
+| 3.5336        | 0.0257 | 22   | 3.3309          |
+| 2.6803        | 0.0281 | 24   | 3.3304          |
+| 2.9239        | 0.0304 | 26   | 3.3290          |
+| 3.9005        | 0.0327 | 28   | 3.3266          |
+| 2.6383        | 0.0351 | 30   | 3.3248          |
+| 3.2712        | 0.0374 | 32   | 3.3222          |
+| 3.2332        | 0.0398 | 34   | 3.3207          |
+| 3.2372        | 0.0421 | 36   | 3.3169          |
+| 3.1066        | 0.0444 | 38   | 3.3139          |
+| 3.0616        | 0.0468 | 40   | 3.3106          |
+| 2.689         | 0.0491 | 42   | 3.3058          |
+| 2.7182        | 0.0515 | 44   | 3.3006          |
+| 3.1854        | 0.0538 | 46   | 3.2946          |
+| 3.5293        | 0.0561 | 48   | 3.2886          |
+| 3.3806        | 0.0585 | 50   | 3.2817          |
+
+
+### 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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