End of training

README.md

@@ -0,0 +1,175 @@
+---
+library_name: peft
+license: other
+base_model: unsloth/Qwen2.5-3B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 8c18c43d-90b9-4648-969f-63d26cb472cf
+  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: unsloth/Qwen2.5-3B-Instruct
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - ee246e1cf44907e3_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/ee246e1cf44907e3_train_data.json
+  type:
+    field_input: alpaca_prompt
+    field_instruction: instruction
+    field_output: response
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+device_map:
+  ? ''
+  : 0,1,2,3,4,5,6,7
+early_stopping_patience: 2
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+flash_attention: true
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Alphatao/8c18c43d-90b9-4648-969f-63d26cb472cf
+hub_repo: null
+hub_strategy: null
+hub_token: null
+learning_rate: 0.0002
+load_best_model_at_end: true
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 128
+lora_dropout: 0.1
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+- o_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 2346
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/ee246e1cf44907e3_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: f478fe17-192c-420c-a529-b29997372dec
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: f478fe17-192c-420c-a529-b29997372dec
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 8c18c43d-90b9-4648-969f-63d26cb472cf
+
+This model is a fine-tuned version of [unsloth/Qwen2.5-3B-Instruct](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4584
+
+## 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: 8
+- total_train_batch_size: 32
+- 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: 2346
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.4598        | 0.0005 | 1    | 2.6155          |
+| 1.7502        | 0.0542 | 100  | 1.6519          |
+| 1.757         | 0.1084 | 200  | 1.6321          |
+| 1.3307        | 0.1625 | 300  | 1.6223          |
+| 1.7703        | 0.2167 | 400  | 1.6144          |
+| 1.6688        | 0.2709 | 500  | 1.6013          |
+| 1.7145        | 0.3251 | 600  | 1.5877          |
+| 1.4751        | 0.3792 | 700  | 1.5761          |
+| 1.564         | 0.4334 | 800  | 1.5609          |
+| 1.2658        | 0.4876 | 900  | 1.5493          |
+| 1.3008        | 0.5418 | 1000 | 1.5364          |
+| 1.4833        | 0.5960 | 1100 | 1.5234          |
+| 1.4851        | 0.6501 | 1200 | 1.5088          |
+| 1.7207        | 0.7043 | 1300 | 1.4980          |
+| 1.7282        | 0.7585 | 1400 | 1.4884          |
+| 1.4935        | 0.8127 | 1500 | 1.4766          |
+| 1.4607        | 0.8669 | 1600 | 1.4662          |
+| 1.1588        | 0.9210 | 1700 | 1.4571          |
+| 1.5499        | 0.9752 | 1800 | 1.4506          |
+| 1.1475        | 1.0294 | 1900 | 1.4587          |
+| 0.9174        | 1.0836 | 2000 | 1.4584          |
+
+
+### 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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f01886b811c6440cda88079bda1ae539f83c3d939f79e8fb73f470dbf70279b9
+size 479119210

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:556d874a9339f232b3ee53e7a5b3b411aef8ed1c29bf7ae9dad0d3259ad0f1be
+oid sha256:ffa9bb616b4a44dacec3b06ce04bb6efca7d9579b6ba73a6d9ed587258bdb704
 size 479005064