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End of training

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  1. README.md +17 -18
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-1b
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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_461352e1-3da4-46a2-a77a-265bfac04700
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  model-index:
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- - name: 6dd4d67e-276b-4a84-a5c8-a7851742b7b4
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  results: []
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  ---
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@@ -21,17 +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: EleutherAI/pythia-1b
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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_461352e1-3da4-46a2-a77a-265bfac04700
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  type:
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- field_instruction: prompt
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- field_output: label
 
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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/6dd4d67e-276b-4a84-a5c8-a7851742b7b4
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  hub_private_repo: true
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  hub_repo: null
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  hub_strategy: checkpoint
@@ -78,8 +79,6 @@ sample_packing: false
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  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 +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: 461352e1-3da4-46a2-a77a-265bfac04700
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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- wandb_runid: 461352e1-3da4-46a2-a77a-265bfac04700
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  warmup_steps: 10
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  weight_decay: 0.0
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  xformers_attention: null
@@ -101,11 +100,11 @@ xformers_attention: null
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  </details><br>
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- # 6dd4d67e-276b-4a84-a5c8-a7851742b7b4
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- This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/EleutherAI/pythia-1b) on the Aivesa/dataset_461352e1-3da4-46a2-a77a-265bfac04700 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1589
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  ## Model description
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@@ -139,9 +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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- | 9.3476 | 0.0002 | 3 | 2.3903 |
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- | 10.2456 | 0.0003 | 6 | 2.3352 |
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- | 8.507 | 0.0005 | 9 | 2.1589 |
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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/gemma-2b-it
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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_37ab15f2-5f4f-40b8-9361-d60418a07bc7
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  model-index:
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+ - name: 6e568efa-70d1-4597-8684-fda43065c219
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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/gemma-2b-it
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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_37ab15f2-5f4f-40b8-9361-d60418a07bc7
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  type:
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+ field_input: mt
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+ field_instruction: src
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+ field_output: ref
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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/6e568efa-70d1-4597-8684-fda43065c219
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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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  save_safetensors: true
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  saves_per_epoch: 4
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  sequence_len: 512
 
 
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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: 37ab15f2-5f4f-40b8-9361-d60418a07bc7
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  wandb_project: Gradients-On-Demand
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  wandb_run: your_name
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+ wandb_runid: 37ab15f2-5f4f-40b8-9361-d60418a07bc7
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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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+ # 6e568efa-70d1-4597-8684-fda43065c219
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+ This model is a fine-tuned version of [unsloth/gemma-2b-it](https://huggingface.co/unsloth/gemma-2b-it) on the Aivesa/dataset_37ab15f2-5f4f-40b8-9361-d60418a07bc7 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9719
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 2.0648 | 0.0002 | 3 | 2.6449 |
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+ | 1.996 | 0.0003 | 6 | 2.4346 |
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+ | 2.3509 | 0.0005 | 9 | 1.9719 |
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  ### Framework versions