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End of training

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  1. README.md +25 -24
  2. adapter_model.bin +2 -2
README.md CHANGED
@@ -1,12 +1,12 @@
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  ---
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- license: gemma
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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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- base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2
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  model-index:
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- - name: 1ef754c7-c737-46d3-b5e2-e40eed5cff18
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  results: []
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  ---
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@@ -19,19 +19,19 @@ should probably proofread and complete it, then remove this comment. -->
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  axolotl version: `0.4.1`
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  ```yaml
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  adapter: lora
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- base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2
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  bf16: auto
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  datasets:
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  - data_files:
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- - 54e090b2393cef7b_train_data.json
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  ds_type: json
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  format: custom
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- path: 54e090b2393cef7b_train_data.json
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  type:
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  field: null
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- field_input: phonemes
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- field_instruction: text
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- field_output: text_description
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  field_system: null
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  format: null
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  no_input_format: null
@@ -51,7 +51,7 @@ fsdp_config: null
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  gradient_accumulation_steps: 4
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  gradient_checkpointing: true
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  group_by_length: false
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- hub_model_id: FatCat87/1ef754c7-c737-46d3-b5e2-e40eed5cff18
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  learning_rate: 0.0002
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  load_in_4bit: false
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  load_in_8bit: true
@@ -73,7 +73,8 @@ sample_packing: true
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  saves_per_epoch: 1
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  seed: 701
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  sequence_len: 4096
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- special_tokens: null
 
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  strict: false
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  tf32: false
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  tokenizer_type: AutoTokenizer
@@ -82,9 +83,9 @@ val_set_size: 0.1
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  wandb_entity: fatcat87-taopanda
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  wandb_log_model: null
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  wandb_mode: online
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- wandb_name: 1ef754c7-c737-46d3-b5e2-e40eed5cff18
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  wandb_project: subnet56
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- wandb_runid: 1ef754c7-c737-46d3-b5e2-e40eed5cff18
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  wandb_watch: null
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  warmup_ratio: 0.05
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  weight_decay: 0.0
@@ -94,12 +95,12 @@ xformers_attention: null
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  </details><br>
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fatcat87-taopanda/subnet56/runs/6423an98)
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- # 1ef754c7-c737-46d3-b5e2-e40eed5cff18
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- This model is a fine-tuned version of [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8791
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  ## Model description
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@@ -129,17 +130,17 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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- - lr_scheduler_warmup_steps: 2
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  - num_epochs: 1
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 4.954 | 0.04 | 1 | 4.9802 |
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- | 1.398 | 0.28 | 7 | 1.2472 |
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- | 0.944 | 0.56 | 14 | 0.9353 |
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- | 0.8764 | 0.84 | 21 | 0.8791 |
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  ### Framework versions
 
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  ---
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+ license: apache-2.0
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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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+ base_model: princeton-nlp/Sheared-LLaMA-1.3B
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  model-index:
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+ - name: 76e772b1-fe02-45e3-aa5b-7b36ec7abf8d
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  results: []
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  ---
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  axolotl version: `0.4.1`
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  ```yaml
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  adapter: lora
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+ base_model: princeton-nlp/Sheared-LLaMA-1.3B
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  bf16: auto
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  datasets:
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  - data_files:
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+ - cb26f8bb8a47c11f_train_data.json
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  ds_type: json
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  format: custom
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+ path: cb26f8bb8a47c11f_train_data.json
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  type:
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  field: null
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+ field_input: null
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+ field_instruction: instruction
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+ field_output: output
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  field_system: null
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  format: null
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  no_input_format: null
 
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  gradient_accumulation_steps: 4
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  gradient_checkpointing: true
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  group_by_length: false
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+ hub_model_id: FatCat87/76e772b1-fe02-45e3-aa5b-7b36ec7abf8d
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  learning_rate: 0.0002
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  load_in_4bit: false
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  load_in_8bit: true
 
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  saves_per_epoch: 1
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  seed: 701
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  sequence_len: 4096
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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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  wandb_entity: fatcat87-taopanda
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  wandb_log_model: null
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  wandb_mode: online
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+ wandb_name: 76e772b1-fe02-45e3-aa5b-7b36ec7abf8d
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  wandb_project: subnet56
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+ wandb_runid: 76e772b1-fe02-45e3-aa5b-7b36ec7abf8d
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  wandb_watch: null
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  warmup_ratio: 0.05
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  weight_decay: 0.0
 
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  </details><br>
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fatcat87-taopanda/subnet56/runs/edodtlvp)
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+ # 76e772b1-fe02-45e3-aa5b-7b36ec7abf8d
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+ This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5490
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  ## Model description
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  - total_eval_batch_size: 4
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 9
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  - num_epochs: 1
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.8322 | 0.0050 | 1 | 1.9699 |
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+ | 1.5589 | 0.2537 | 51 | 1.6483 |
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+ | 1.4753 | 0.5075 | 102 | 1.5744 |
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+ | 1.4788 | 0.7612 | 153 | 1.5490 |
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  ### Framework versions
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