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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: apache-2.0
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- base_model: unsloth/SmolLM2-360M-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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- - Aivesa/dataset_0bb39f55-e2d8-431a-b743-b0068a16e3a5
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  model-index:
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- - name: e6175c79-ed07-4658-8bc8-23f1679fadf5
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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: unsloth/SmolLM2-360M-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: Aivesa/dataset_0bb39f55-e2d8-431a-b743-b0068a16e3a5
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  type:
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- field_input: rejected
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- field_instruction: prompt
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- field_output: chosen
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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: Aivesa/e6175c79-ed07-4658-8bc8-23f1679fadf5
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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: 0bb39f55-e2d8-431a-b743-b0068a16e3a5
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 0bb39f55-e2d8-431a-b743-b0068a16e3a5
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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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- # e6175c79-ed07-4658-8bc8-23f1679fadf5
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- This model is a fine-tuned version of [unsloth/SmolLM2-360M-Instruct](https://huggingface.co/unsloth/SmolLM2-360M-Instruct) on the Aivesa/dataset_0bb39f55-e2d8-431a-b743-b0068a16e3a5 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0462
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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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- | 1.1513 | 0.0032 | 3 | 1.0495 |
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- | 0.9987 | 0.0064 | 6 | 1.0485 |
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- | 1.0856 | 0.0096 | 9 | 1.0462 |
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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/mistral-7b-v0.3
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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_bb4495a3-40e6-47d5-8acb-8dbb8fc1970b
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  model-index:
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+ - name: f16a710f-b5df-407b-8bd3-f553e1ab5dd8
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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/mistral-7b-v0.3
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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_bb4495a3-40e6-47d5-8acb-8dbb8fc1970b
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  type:
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+ field_input: choices
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+ field_instruction: subject
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+ field_output: question
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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/f16a710f-b5df-407b-8bd3-f553e1ab5dd8
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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: bb4495a3-40e6-47d5-8acb-8dbb8fc1970b
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: bb4495a3-40e6-47d5-8acb-8dbb8fc1970b
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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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+ # f16a710f-b5df-407b-8bd3-f553e1ab5dd8
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+ This model is a fine-tuned version of [unsloth/mistral-7b-v0.3](https://huggingface.co/unsloth/mistral-7b-v0.3) on the Aivesa/dataset_bb4495a3-40e6-47d5-8acb-8dbb8fc1970b dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6346
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 7.3363 | 0.0086 | 3 | 2.0843 |
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+ | 6.8908 | 0.0171 | 6 | 1.7118 |
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+ | 5.9452 | 0.0257 | 9 | 1.6346 |
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  ### Framework versions