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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: EleutherAI/pythia-70m-deduped
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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_999dc897-8e91-4324-92d7-b71af8c08912
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  model-index:
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- - name: f8549911-86bb-4e2b-8478-525efbbc4415
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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: EleutherAI/pythia-70m-deduped
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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_999dc897-8e91-4324-92d7-b71af8c08912
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  type:
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- field_instruction: pageTitle
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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 +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: Aivesa/f8549911-86bb-4e2b-8478-525efbbc4415
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -79,7 +79,7 @@ save_safetensors: true
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  saves_per_epoch: 4
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  sequence_len: 512
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  special_tokens:
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- pad_token: <|endoftext|>
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
@@ -89,10 +89,10 @@ 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: 999dc897-8e91-4324-92d7-b71af8c08912
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 999dc897-8e91-4324-92d7-b71af8c08912
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -101,11 +101,11 @@ xformers_attention: null
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  </details><br>
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- # f8549911-86bb-4e2b-8478-525efbbc4415
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- This model is a fine-tuned version of [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) on the Aivesa/dataset_999dc897-8e91-4324-92d7-b71af8c08912 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 182.5955
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  ## Model description
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@@ -139,9 +139,9 @@ 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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- | 575.7077 | 0.0003 | 3 | 182.7351 |
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- | 962.5692 | 0.0006 | 6 | 182.6678 |
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- | 537.9006 | 0.0009 | 9 | 182.5955 |
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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: Maykeye/TinyLLama-v0
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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_69a210ba-69a6-4af0-a84b-b62a60567e8b
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  model-index:
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+ - name: d7ece7c9-f6fc-4531-8b1e-e231149e3a1d
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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: Maykeye/TinyLLama-v0
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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_69a210ba-69a6-4af0-a84b-b62a60567e8b
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  type:
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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/d7ece7c9-f6fc-4531-8b1e-e231149e3a1d
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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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  saves_per_epoch: 4
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  sequence_len: 512
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  special_tokens:
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+ pad_token: </s>
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
 
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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: 69a210ba-69a6-4af0-a84b-b62a60567e8b
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: 69a210ba-69a6-4af0-a84b-b62a60567e8b
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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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+ # d7ece7c9-f6fc-4531-8b1e-e231149e3a1d
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+ This model is a fine-tuned version of [Maykeye/TinyLLama-v0](https://huggingface.co/Maykeye/TinyLLama-v0) on the Aivesa/dataset_69a210ba-69a6-4af0-a84b-b62a60567e8b dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.2183
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 6.4432 | 0.0024 | 3 | 6.2957 |
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+ | 5.9891 | 0.0047 | 6 | 6.2714 |
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+ | 6.3986 | 0.0071 | 9 | 6.2183 |
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  ### Framework versions