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End of training

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  1. README.md +17 -16
README.md CHANGED
@@ -1,14 +1,14 @@
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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-Math-7B-Instruct
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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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- - Paladiso/dataset_8d0a43d1-c494-4713-88d3-33e90ed16b11
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  model-index:
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- - name: 5ac2d2e1-dd81-4f3e-91df-8736e18a686a
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  results: []
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  ---
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@@ -21,17 +21,18 @@ 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: Qwen/Qwen2.5-Math-7B-Instruct
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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: Paladiso/dataset_8d0a43d1-c494-4713-88d3-33e90ed16b11
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  type:
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- field_instruction: text_original
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- field_output: text_normalized
 
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  system_format: '{system}'
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  system_prompt: ''
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  debug: null
@@ -47,7 +48,7 @@ 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: Paladiso/5ac2d2e1-dd81-4f3e-91df-8736e18a686a
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -87,10 +88,10 @@ 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: 8d0a43d1-c494-4713-88d3-33e90ed16b11
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 8d0a43d1-c494-4713-88d3-33e90ed16b11
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -99,11 +100,11 @@ xformers_attention: null
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  </details><br>
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- # 5ac2d2e1-dd81-4f3e-91df-8736e18a686a
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- This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct) on the Paladiso/dataset_8d0a43d1-c494-4713-88d3-33e90ed16b11 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1437
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  ## Model description
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@@ -137,9 +138,9 @@ 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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- | 2.203 | 0.0001 | 3 | 2.8900 |
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- | 2.5232 | 0.0001 | 6 | 2.7809 |
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- | 3.5169 | 0.0002 | 9 | 2.1437 |
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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: unsloth/Qwen2.5-0.5B-Instruct
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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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+ - Paladiso/dataset_e61a2e67-2ef6-4c56-bc3d-5981b6729822
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  model-index:
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+ - name: 0d028e06-1aab-4890-b182-1143f59e3b1a
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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: unsloth/Qwen2.5-0.5B-Instruct
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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: Paladiso/dataset_e61a2e67-2ef6-4c56-bc3d-5981b6729822
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  type:
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+ field_input: SMILES
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+ field_instruction: Name
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+ field_output: Descriptor
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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: Paladiso/0d028e06-1aab-4890-b182-1143f59e3b1a
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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: e61a2e67-2ef6-4c56-bc3d-5981b6729822
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: e61a2e67-2ef6-4c56-bc3d-5981b6729822
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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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+ # 0d028e06-1aab-4890-b182-1143f59e3b1a
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+ This model is a fine-tuned version of [unsloth/Qwen2.5-0.5B-Instruct](https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct) on the Paladiso/dataset_e61a2e67-2ef6-4c56-bc3d-5981b6729822 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6470
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 2.4995 | 0.0019 | 3 | 2.8456 |
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+ | 2.8845 | 0.0037 | 6 | 2.7812 |
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+ | 2.7788 | 0.0056 | 9 | 2.6470 |
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  ### Framework versions