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End of training

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  1. README.md +18 -18
README.md CHANGED
@@ -1,14 +1,14 @@
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  ---
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  library_name: peft
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- license: other
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- base_model: deepseek-ai/deepseek-coder-6.7b-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_41dda0c6-8e48-48bb-9249-f42e27a517b0
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  model-index:
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- - name: e60510e7-49f8-4df0-b938-c6cafe3f3d52
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  results: []
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  ---
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@@ -21,18 +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: deepseek-ai/deepseek-coder-6.7b-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_41dda0c6-8e48-48bb-9249-f42e27a517b0
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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
@@ -48,7 +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/e60510e7-49f8-4df0-b938-c6cafe3f3d52
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -88,10 +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: 41dda0c6-8e48-48bb-9249-f42e27a517b0
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 41dda0c6-8e48-48bb-9249-f42e27a517b0
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -100,11 +100,11 @@ xformers_attention: null
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  </details><br>
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- # e60510e7-49f8-4df0-b938-c6cafe3f3d52
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- This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on the Paladiso/dataset_41dda0c6-8e48-48bb-9249-f42e27a517b0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7043
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  ## Model description
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@@ -138,9 +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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- | 1.8538 | 0.0007 | 3 | 1.9522 |
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- | 1.5454 | 0.0015 | 6 | 1.9174 |
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- | 1.5226 | 0.0022 | 9 | 1.7043 |
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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: NousResearch/Nous-Hermes-llama-2-7b
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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_2a4738f3-e023-46f4-ae13-2b8b3faf7cb2
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  model-index:
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+ - name: 0b7c2404-8bda-4a1e-b967-80d5a73d032a
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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/Nous-Hermes-llama-2-7b
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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_2a4738f3-e023-46f4-ae13-2b8b3faf7cb2
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  type:
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+ field_input: title
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+ field_instruction: category
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+ field_output: title_category
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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/0b7c2404-8bda-4a1e-b967-80d5a73d032a
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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: 2a4738f3-e023-46f4-ae13-2b8b3faf7cb2
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: 2a4738f3-e023-46f4-ae13-2b8b3faf7cb2
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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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+ # 0b7c2404-8bda-4a1e-b967-80d5a73d032a
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+ This model is a fine-tuned version of [NousResearch/Nous-Hermes-llama-2-7b](https://huggingface.co/NousResearch/Nous-Hermes-llama-2-7b) on the Paladiso/dataset_2a4738f3-e023-46f4-ae13-2b8b3faf7cb2 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4806
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.5304 | 0.0000 | 3 | 1.4527 |
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+ | 1.3865 | 0.0001 | 6 | 1.1237 |
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+ | 0.7958 | 0.0001 | 9 | 0.4806 |
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  ### Framework versions