End of training

README.md

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+---
+library_name: peft
+license: mit
+base_model: migtissera/Tess-v2.5-Phi-3-medium-128k-14B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: f42699fe-8a2a-46de-81d3-a4c4af1fea12
+  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_find_batch_size: true
+base_model: migtissera/Tess-v2.5-Phi-3-medium-128k-14B
+bf16: auto
+chat_template: llama3
+dataloader_num_workers: 12
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - fe297105e697bbbb_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/fe297105e697bbbb_train_data.json
+  type:
+    field_instruction: task
+    field_output: solution
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 3
+early_stopping_threshold: 0.001
+eval_max_new_tokens: 128
+eval_steps: 40
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 2
+gradient_checkpointing: false
+group_by_length: false
+hub_model_id: mrferr3t/f42699fe-8a2a-46de-81d3-a4c4af1fea12
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0003
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 100
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 8
+lora_target_linear: true
+lr_scheduler: cosine
+micro_batch_size: 32
+mlflow_experiment_name: /tmp/fe297105e697bbbb_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 50
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+s2_attention: null
+sample_packing: false
+save_steps: 40
+saves_per_epoch: 0
+sequence_len: 512
+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: 3fa43a59-7bfe-43c9-93ae-74585476d2fa
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 3fa43a59-7bfe-43c9-93ae-74585476d2fa
+warmup_ratio: 0.05
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# f42699fe-8a2a-46de-81d3-a4c4af1fea12
+
+This model is a fine-tuned version of [migtissera/Tess-v2.5-Phi-3-medium-128k-14B](https://huggingface.co/migtissera/Tess-v2.5-Phi-3-medium-128k-14B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5931
+
+## 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: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Use adamw_bnb_8bit 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: 150
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0010 | 1    | 0.7430          |
+| No log        | 0.0415 | 40   | 0.6771          |
+| No log        | 0.0829 | 80   | 0.6422          |
+| 1.3417        | 0.1244 | 120  | 0.6342          |
+| 1.3417        | 0.1658 | 160  | 0.6263          |
+| 1.2346        | 0.2073 | 200  | 0.6233          |
+| 1.2346        | 0.2487 | 240  | 0.6192          |
+| 1.2346        | 0.2902 | 280  | 0.6167          |
+| 1.2428        | 0.3316 | 320  | 0.6131          |
+| 1.2428        | 0.3731 | 360  | 0.6113          |
+| 1.1918        | 0.4145 | 400  | 0.6059          |
+| 1.1918        | 0.4560 | 440  | 0.6034          |
+| 1.1918        | 0.4974 | 480  | 0.6010          |
+| 1.2162        | 0.5389 | 520  | 0.6008          |
+| 1.2162        | 0.5803 | 560  | 0.5946          |
+| 1.1867        | 0.6218 | 600  | 0.5968          |
+| 1.1867        | 0.6632 | 640  | 0.5912          |
+| 1.1867        | 0.7047 | 680  | 0.5887          |
+| 1.1763        | 0.7461 | 720  | 0.5855          |
+| 1.1763        | 0.7876 | 760  | 0.5841          |
+| 1.1783        | 0.8290 | 800  | 0.5831          |
+| 1.1783        | 0.8705 | 840  | 0.5802          |
+| 1.1783        | 0.9119 | 880  | 0.5773          |
+| 1.1443        | 0.9534 | 920  | 0.5796          |
+| 1.1443        | 0.9948 | 960  | 0.5779          |
+| 1.0328        | 1.0363 | 1000 | 0.5931          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.3.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

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adapter_model.safetensors

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