End of training

README.md

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+---
+library_name: peft
+license: other
+base_model: sethuiyer/Medichat-Llama3-8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: feddaca4-cb5c-4f8e-8b46-288b425ee1c3
+  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: sethuiyer/Medichat-Llama3-8B
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 4d445458bcc291df_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/4d445458bcc291df_train_data.json
+  type:
+    field_input: counter_statement
+    field_instruction: question
+    field_output: counter_longer
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: dsakerkwq/feddaca4-cb5c-4f8e-8b46-288b425ee1c3
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+lora_alpha: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lr_scheduler: cosine
+max_memory:
+  0: 75GiB
+max_steps: 30
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/4d445458bcc291df_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: true
+s2_attention: false
+sample_packing: false
+saves_per_epoch: 4
+sequence_len: 2048
+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: feddaca4-cb5c-4f8e-8b46-288b425ee1c3
+wandb_project: Gradients-On-Demand
+wandb_runid: feddaca4-cb5c-4f8e-8b46-288b425ee1c3
+warmup_steps: 100
+weight_decay: 0.01
+xformers_attention: false
+
+```
+
+</details><br>
+
+# feddaca4-cb5c-4f8e-8b46-288b425ee1c3
+
+This model is a fine-tuned version of [sethuiyer/Medichat-Llama3-8B](https://huggingface.co/sethuiyer/Medichat-Llama3-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6842
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 100
+- training_steps: 30
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9424        | 0.0015 | 1    | 1.2899          |
+| 1.0601        | 0.0046 | 3    | 1.2885          |
+| 1.1404        | 0.0092 | 6    | 1.2818          |
+| 1.0557        | 0.0138 | 9    | 1.2536          |
+| 1.1208        | 0.0184 | 12   | 1.1905          |
+| 0.986         | 0.0231 | 15   | 1.0825          |
+| 0.8857        | 0.0277 | 18   | 0.9516          |
+| 0.8378        | 0.0323 | 21   | 0.8335          |
+| 0.7278        | 0.0369 | 24   | 0.7376          |
+| 0.7035        | 0.0415 | 27   | 0.7180          |
+| 0.6894        | 0.0461 | 30   | 0.6842          |
+
+
+### 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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