PEFT
Safetensors
phi3
axolotl
Generated from Trainer
custom_code
Paladiso commited on
Commit
22e9e58
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1 Parent(s): 9713e33

End of training

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  1. README.md +17 -17
README.md CHANGED
@@ -1,14 +1,14 @@
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  ---
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  library_name: peft
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- license: llama3
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- base_model: NousResearch/Hermes-3-Llama-3.1-8B
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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_01e3a775-b4d1-4728-83d2-a8ae99e1f4fe
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  model-index:
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- - name: 5cafc7e9-7d7b-4f3f-a5a3-7358b1931d00
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  results: []
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  ---
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@@ -21,17 +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: NousResearch/Hermes-3-Llama-3.1-8B
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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_01e3a775-b4d1-4728-83d2-a8ae99e1f4fe
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  type:
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- field_instruction: darija
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- field_output: english
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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: Paladiso/5cafc7e9-7d7b-4f3f-a5a3-7358b1931d00
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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: 01e3a775-b4d1-4728-83d2-a8ae99e1f4fe
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 01e3a775-b4d1-4728-83d2-a8ae99e1f4fe
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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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- # 5cafc7e9-7d7b-4f3f-a5a3-7358b1931d00
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- This model is a fine-tuned version of [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) on the Paladiso/dataset_01e3a775-b4d1-4728-83d2-a8ae99e1f4fe dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2292
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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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- | 2.5678 | 0.0090 | 3 | 2.7981 |
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- | 2.5156 | 0.0180 | 6 | 2.6932 |
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- | 1.9508 | 0.0271 | 9 | 2.2292 |
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  ### Framework versions
 
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  ---
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  library_name: peft
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+ license: mit
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+ base_model: numind/NuExtract-v1.5
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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_c99871fd-1142-4a68-9841-64b293e07c60
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  model-index:
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+ - name: 6a2139b5-d27e-477f-8b4a-9be9f04e75b5
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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: numind/NuExtract-v1.5
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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_c99871fd-1142-4a68-9841-64b293e07c60
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  type:
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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
 
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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/6a2139b5-d27e-477f-8b4a-9be9f04e75b5
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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: c99871fd-1142-4a68-9841-64b293e07c60
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: c99871fd-1142-4a68-9841-64b293e07c60
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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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+ # 6a2139b5-d27e-477f-8b4a-9be9f04e75b5
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+ This model is a fine-tuned version of [numind/NuExtract-v1.5](https://huggingface.co/numind/NuExtract-v1.5) on the Paladiso/dataset_c99871fd-1142-4a68-9841-64b293e07c60 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9610
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 8.2516 | 0.0021 | 3 | 2.1313 |
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+ | 7.4297 | 0.0041 | 6 | 2.0895 |
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+ | 7.3104 | 0.0062 | 9 | 1.9610 |
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  ### Framework versions