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End of training

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  1. README.md +17 -17
README.md CHANGED
@@ -1,13 +1,14 @@
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  ---
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  library_name: peft
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- base_model: samoline/15206987-1fd2-42e7-b6ff-76e937bed868
 
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  tags:
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  - axolotl
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  - generated_from_trainer
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  datasets:
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- - Aivesa/dataset_f1fc5363-4c2b-4b15-8937-25e59984288b
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  model-index:
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- - name: 09ef104a-4ed4-4720-b432-93642d949570
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  results: []
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  ---
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@@ -20,18 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  axolotl version: `0.6.0`
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  ```yaml
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  adapter: lora
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- base_model: samoline/15206987-1fd2-42e7-b6ff-76e937bed868
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  bf16: auto
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  chat_template: llama3
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  dataset_prepared_path: /workspace/axolotl/data/prepared
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  datasets:
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  - ds_type: json
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  format: custom
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- path: Aivesa/dataset_f1fc5363-4c2b-4b15-8937-25e59984288b
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  type:
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- field_input: input
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- field_instruction: instruction
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- field_output: output
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  system_format: '{system}'
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  system_prompt: ''
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  debug: null
@@ -47,7 +47,7 @@ fsdp_config: null
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  gradient_accumulation_steps: 4
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  gradient_checkpointing: false
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  group_by_length: false
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- hub_model_id: Aivesa/09ef104a-4ed4-4720-b432-93642d949570
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -87,10 +87,10 @@ use_accelerate: true
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  val_set_size: 0.05
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  wandb_entity: null
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  wandb_mode: online
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- wandb_name: f1fc5363-4c2b-4b15-8937-25e59984288b
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: f1fc5363-4c2b-4b15-8937-25e59984288b
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -99,11 +99,11 @@ xformers_attention: null
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  </details><br>
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- # 09ef104a-4ed4-4720-b432-93642d949570
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- This model is a fine-tuned version of [samoline/15206987-1fd2-42e7-b6ff-76e937bed868](https://huggingface.co/samoline/15206987-1fd2-42e7-b6ff-76e937bed868) on the Aivesa/dataset_f1fc5363-4c2b-4b15-8937-25e59984288b dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4623
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  ## Model description
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@@ -137,9 +137,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.3267 | 0.0006 | 3 | 1.5370 |
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- | 1.25 | 0.0012 | 6 | 1.5235 |
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- | 1.1399 | 0.0018 | 9 | 1.4623 |
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  ### Framework versions
 
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  ---
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  library_name: peft
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2.5-1.5B
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  tags:
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  - axolotl
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  - generated_from_trainer
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  datasets:
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+ - Aivesa/dataset_fe02391f-dc57-4aa5-9b78-45187ff5fb46
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  model-index:
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+ - name: d037a536-e2d0-4e2b-9ac6-efaaacbaa2df
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  results: []
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  ---
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  axolotl version: `0.6.0`
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  ```yaml
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  adapter: lora
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+ base_model: Qwen/Qwen2.5-1.5B
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  bf16: auto
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  chat_template: llama3
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  dataset_prepared_path: /workspace/axolotl/data/prepared
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  datasets:
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  - ds_type: json
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  format: custom
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+ path: Aivesa/dataset_fe02391f-dc57-4aa5-9b78-45187ff5fb46
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  type:
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+ field_instruction: premise
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+ field_output: hypothesis
 
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  system_format: '{system}'
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  system_prompt: ''
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  debug: null
 
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  gradient_accumulation_steps: 4
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  gradient_checkpointing: false
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  group_by_length: false
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+ hub_model_id: Aivesa/d037a536-e2d0-4e2b-9ac6-efaaacbaa2df
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
 
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  val_set_size: 0.05
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  wandb_entity: null
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  wandb_mode: online
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+ wandb_name: fe02391f-dc57-4aa5-9b78-45187ff5fb46
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: fe02391f-dc57-4aa5-9b78-45187ff5fb46
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
 
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  </details><br>
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+ # d037a536-e2d0-4e2b-9ac6-efaaacbaa2df
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the Aivesa/dataset_fe02391f-dc57-4aa5-9b78-45187ff5fb46 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1429
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.3236 | 0.0035 | 3 | 1.2901 |
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+ | 1.2011 | 0.0069 | 6 | 1.2545 |
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+ | 1.1983 | 0.0104 | 9 | 1.1429 |
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  ### Framework versions