End of training

README.md

@@ -0,0 +1,191 @@
+---
+library_name: peft
+license: other
+base_model: Qwen/Qwen1.5-0.5B-Chat
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: baa021ed-7f27-42f3-8dde-6e74318e8961
+  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: Qwen/Qwen1.5-0.5B-Chat
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - b0f300b6b09a2ba8_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/b0f300b6b09a2ba8_train_data.json
+  type:
+    field_input: my_solu
+    field_instruction: prompt
+    field_output: solution
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 2
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 16
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Romain-XV/baa021ed-7f27-42f3-8dde-6e74318e8961
+hub_repo: null
+hub_strategy: checkpoint
+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: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 8
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+lr_scheduler: cosine
+max_steps: 3726
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/b0f300b6b09a2ba8_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 1
+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: 50fdbd7c-464a-4d56-a3ed-abec091ccab6
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 50fdbd7c-464a-4d56-a3ed-abec091ccab6
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# baa021ed-7f27-42f3-8dde-6e74318e8961
+
+This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B-Chat](https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1987
+
+## 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
+- training_steps: 3726
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.3923        | 0.0002 | 1    | 1.4109          |
+| 0.8141        | 0.0214 | 100  | 0.8870          |
+| 0.7815        | 0.0428 | 200  | 0.8142          |
+| 0.7717        | 0.0642 | 300  | 0.7634          |
+| 0.7092        | 0.0856 | 400  | 0.7206          |
+| 0.6155        | 0.1070 | 500  | 0.6825          |
+| 0.7272        | 0.1284 | 600  | 0.6480          |
+| 0.5709        | 0.1498 | 700  | 0.6154          |
+| 0.5701        | 0.1712 | 800  | 0.5841          |
+| 0.574         | 0.1926 | 900  | 0.5533          |
+| 0.5339        | 0.2140 | 1000 | 0.5240          |
+| 0.407         | 0.2354 | 1100 | 0.4956          |
+| 0.4801        | 0.2568 | 1200 | 0.4689          |
+| 0.4047        | 0.2783 | 1300 | 0.4438          |
+| 0.4572        | 0.2997 | 1400 | 0.4212          |
+| 0.3492        | 0.3211 | 1500 | 0.3985          |
+| 0.3494        | 0.3425 | 1600 | 0.3752          |
+| 0.38          | 0.3639 | 1700 | 0.3550          |
+| 0.3508        | 0.3853 | 1800 | 0.3346          |
+| 0.3265        | 0.4067 | 1900 | 0.3165          |
+| 0.2892        | 0.4281 | 2000 | 0.3016          |
+| 0.3141        | 0.4495 | 2100 | 0.2866          |
+| 0.2954        | 0.4709 | 2200 | 0.2726          |
+| 0.2968        | 0.4923 | 2300 | 0.2606          |
+| 0.2706        | 0.5137 | 2400 | 0.2499          |
+| 0.2689        | 0.5351 | 2500 | 0.2402          |
+| 0.2072        | 0.5565 | 2600 | 0.2322          |
+| 0.2147        | 0.5779 | 2700 | 0.2244          |
+| 0.219         | 0.5993 | 2800 | 0.2175          |
+| 0.2034        | 0.6207 | 2900 | 0.2129          |
+| 0.1956        | 0.6421 | 3000 | 0.2093          |
+| 0.1553        | 0.6635 | 3100 | 0.2053          |
+| 0.2372        | 0.6849 | 3200 | 0.2028          |
+| 0.1921        | 0.7063 | 3300 | 0.2009          |
+| 0.2111        | 0.7277 | 3400 | 0.1996          |
+| 0.2116        | 0.7491 | 3500 | 0.1990          |
+| 0.2229        | 0.7705 | 3600 | 0.1987          |
+| 0.235         | 0.7920 | 3700 | 0.1987          |
+
+
+### 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:d8725cbb24062ebaabb6f031da4ce9069ff1e82cb0398a217d8eb28f5770770c
+size 15259594

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4b96208cde59d27eb39c988b36930f30c0f82740d15542848939fff0be69c8a1
+oid sha256:c9a97541999c60882b4822aeb1330f5e63b162e2c52cf9e6511c3a082e9143d5
 size 15182728