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End of training

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  1. README.md +19 -18
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: unsloth/Qwen2-0.5B
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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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- - Paladiso/dataset_259fd7bc-d639-4f39-96d1-9a76d24779cd
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  model-index:
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- - name: 4b6ed69e-2443-47fc-8caf-8b37adfc9ba9
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  results: []
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  ---
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@@ -21,18 +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: unsloth/Qwen2-0.5B
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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: Paladiso/dataset_259fd7bc-d639-4f39-96d1-9a76d24779cd
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  type:
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- field_input: my_solu
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- field_instruction: prompt
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- field_output: solution
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  system_format: '{system}'
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  system_prompt: ''
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  debug: null
@@ -48,7 +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: Paladiso/4b6ed69e-2443-47fc-8caf-8b37adfc9ba9
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -79,6 +78,8 @@ sample_packing: false
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  save_safetensors: true
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  saves_per_epoch: 4
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  sequence_len: 512
 
 
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
@@ -88,10 +89,10 @@ 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: 259fd7bc-d639-4f39-96d1-9a76d24779cd
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 259fd7bc-d639-4f39-96d1-9a76d24779cd
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -100,11 +101,11 @@ xformers_attention: null
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  </details><br>
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- # 4b6ed69e-2443-47fc-8caf-8b37adfc9ba9
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- This model is a fine-tuned version of [unsloth/Qwen2-0.5B](https://huggingface.co/unsloth/Qwen2-0.5B) on the Paladiso/dataset_259fd7bc-d639-4f39-96d1-9a76d24779cd dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9491
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  ## Model description
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@@ -138,9 +139,9 @@ 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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- | 1.2592 | 0.0001 | 3 | 1.0529 |
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- | 1.0489 | 0.0001 | 6 | 1.0084 |
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- | 0.9325 | 0.0002 | 9 | 0.9491 |
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  ### Framework versions
 
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  ---
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  library_name: peft
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+ license: llama3.2
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+ base_model: NousResearch/Llama-3.2-1B
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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_1bf2f8e1-ac8b-46d1-ad4c-485628fd6876
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  model-index:
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+ - name: 69dbc3dd-1016-41b9-8587-11fb54d74c38
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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: NousResearch/Llama-3.2-1B
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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_1bf2f8e1-ac8b-46d1-ad4c-485628fd6876
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  type:
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+ field_instruction: intent
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+ field_output: snippet
 
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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/69dbc3dd-1016-41b9-8587-11fb54d74c38
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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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  save_safetensors: true
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  saves_per_epoch: 4
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  sequence_len: 512
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+ special_tokens:
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+ pad_token: <|end_of_text|>
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
 
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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: 1bf2f8e1-ac8b-46d1-ad4c-485628fd6876
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: 1bf2f8e1-ac8b-46d1-ad4c-485628fd6876
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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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+ # 69dbc3dd-1016-41b9-8587-11fb54d74c38
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+ This model is a fine-tuned version of [NousResearch/Llama-3.2-1B](https://huggingface.co/NousResearch/Llama-3.2-1B) on the Paladiso/dataset_1bf2f8e1-ac8b-46d1-ad4c-485628fd6876 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6703
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 3.3628 | 0.0094 | 3 | 3.4313 |
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+ | 3.5282 | 0.0189 | 6 | 3.2452 |
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+ | 2.6317 | 0.0283 | 9 | 2.6703 |
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  ### Framework versions