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Aivesa
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751f1e72-59b6-456b-ab88-b74d3a309aa7

PEFT
Safetensors
mistral
axolotl
Generated from Trainer
Model card Files
xet
 Community
Aivesa commited on
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388d306
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1 Parent(s): 02f438c

End of training

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  1. README.md +18 -17
README.md CHANGED
@@ -1,13 +1,14 @@
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  ---
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  library_name: peft
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- base_model: katuni4ka/tiny-random-olmo-hf
 
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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_6968a579-81bd-4958-a406-832f6d9ed6e2
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  model-index:
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- - name: fd35b19c-d072-42cd-a87a-9b420f48b2cf
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  results: []
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  ---
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@@ -20,18 +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: katuni4ka/tiny-random-olmo-hf
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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_6968a579-81bd-4958-a406-832f6d9ed6e2
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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
@@ -47,7 +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/fd35b19c-d072-42cd-a87a-9b420f48b2cf
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -87,10 +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: 6968a579-81bd-4958-a406-832f6d9ed6e2
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 6968a579-81bd-4958-a406-832f6d9ed6e2
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -99,11 +100,11 @@ xformers_attention: null
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  </details><br>
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- # fd35b19c-d072-42cd-a87a-9b420f48b2cf
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- This model is a fine-tuned version of [katuni4ka/tiny-random-olmo-hf](https://huggingface.co/katuni4ka/tiny-random-olmo-hf) on the Aivesa/dataset_6968a579-81bd-4958-a406-832f6d9ed6e2 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 10.8337
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  ## Model description
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@@ -137,9 +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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- | 10.8479 | 0.0040 | 3 | 10.8399 |
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- | 10.8437 | 0.0080 | 6 | 10.8375 |
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- | 10.8212 | 0.0120 | 9 | 10.8337 |
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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: HuggingFaceH4/zephyr-7b-beta
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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_6bf57a7e-d013-4c3a-ad04-ce3a9ad4dcfb
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  model-index:
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+ - name: 751f1e72-59b6-456b-ab88-b74d3a309aa7
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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: HuggingFaceH4/zephyr-7b-beta
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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_6bf57a7e-d013-4c3a-ad04-ce3a9ad4dcfb
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  type:
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+ field_input: comment
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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
 
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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/751f1e72-59b6-456b-ab88-b74d3a309aa7
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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: 6bf57a7e-d013-4c3a-ad04-ce3a9ad4dcfb
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: 6bf57a7e-d013-4c3a-ad04-ce3a9ad4dcfb
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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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+ # 751f1e72-59b6-456b-ab88-b74d3a309aa7
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+ This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the Aivesa/dataset_6bf57a7e-d013-4c3a-ad04-ce3a9ad4dcfb dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8349
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.4462 | 0.0030 | 3 | 1.1361 |
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+ | 4.3447 | 0.0061 | 6 | 0.9301 |
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+ | 3.4467 | 0.0091 | 9 | 0.8349 |
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  ### Framework versions