End of training
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README.md
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---
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library_name: peft
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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/
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model-index:
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- name:
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results: []
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---
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@@ -20,18 +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:
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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/
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type:
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-
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-
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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: Aivesa/
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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:
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid:
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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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#
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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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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### Framework versions
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---
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library_name: peft
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license: other
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base_model: facebook/opt-125m
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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_23fa5d51-8fcd-4655-8190-c4e501fc6353
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model-index:
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- name: 16281bbf-fc42-498c-a071-7b6a92fc3df4
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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: facebook/opt-125m
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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_23fa5d51-8fcd-4655-8190-c4e501fc6353
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type:
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field_instruction: prompt
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field_output: response_a
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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/16281bbf-fc42-498c-a071-7b6a92fc3df4
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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: 23fa5d51-8fcd-4655-8190-c4e501fc6353
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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+
wandb_runid: 23fa5d51-8fcd-4655-8190-c4e501fc6353
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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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# 16281bbf-fc42-498c-a071-7b6a92fc3df4
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the Aivesa/dataset_23fa5d51-8fcd-4655-8190-c4e501fc6353 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3589
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 10.0295 | 0.0004 | 3 | 2.4100 |
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| 8.8778 | 0.0009 | 6 | 2.3930 |
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| 10.1351 | 0.0013 | 9 | 2.3589 |
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### Framework versions
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