End of training
Browse files- README.md +9 -9
- adapter_model.bin +1 -1
README.md
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@@ -6,7 +6,7 @@ tags:
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- axolotl
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- generated_from_trainer
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model-index:
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-
- name: proof-reading-SeaLLM3-7B-Chat-3090-
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results: []
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---
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@@ -26,7 +26,7 @@ load_in_4bit: true
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strict: false
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datasets:
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- path: Tippawan/
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type: sharegpt
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conversation: chatml
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field_messages: messages
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@@ -41,7 +41,7 @@ eval_sample_packing: false
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pad_to_sequence_len: false
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push_to_hub: true
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hub_model_id: Tippawan/proof-reading-SeaLLM3-7B-Chat-3090-
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use_auth_token: true # Ensure you have set your Hugging Face API token in the environment
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hub_private_repo: true # Set to true if you want the repository to be private
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hub_strategy: all_checkpoints
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@@ -56,14 +56,14 @@ lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project: proof-reading-SeaLLM3-7B-Chat-3090-
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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gradient_accumulation_steps: 4
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micro_batch_size:
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num_epochs: 1 #editted 3
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optimizer: adamw_torch
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lr_scheduler: cosine
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@@ -96,7 +96,7 @@ special_tokens:
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</details><br>
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# proof-reading-SeaLLM3-7B-Chat-3090-
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This model is a fine-tuned version of [SeaLLMs/SeaLLM3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM3-7B-Chat) on the None dataset.
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@@ -118,11 +118,11 @@ More information needed
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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-
- train_batch_size:
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-
- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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-
- total_train_batch_size:
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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: 10
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- axolotl
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- generated_from_trainer
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model-index:
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+
- name: proof-reading-SeaLLM3-7B-Chat-3090-v3
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results: []
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---
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strict: false
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datasets:
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- path: Tippawan/pr-v3
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type: sharegpt
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conversation: chatml
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field_messages: messages
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pad_to_sequence_len: false
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push_to_hub: true
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+
hub_model_id: Tippawan/proof-reading-SeaLLM3-7B-Chat-3090-v3 # Replace with your Hugging Face repo ID
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use_auth_token: true # Ensure you have set your Hugging Face API token in the environment
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hub_private_repo: true # Set to true if you want the repository to be private
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hub_strategy: all_checkpoints
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project: proof-reading-SeaLLM3-7B-Chat-3090-v3
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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gradient_accumulation_steps: 4
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micro_batch_size: 2
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num_epochs: 1 #editted 3
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optimizer: adamw_torch
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lr_scheduler: cosine
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</details><br>
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# proof-reading-SeaLLM3-7B-Chat-3090-v3
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This model is a fine-tuned version of [SeaLLMs/SeaLLM3-7B-Chat](https://huggingface.co/SeaLLMs/SeaLLM3-7B-Chat) on the None dataset.
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 2
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+
- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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: 10
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adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
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size 161621802
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version https://git-lfs.github.com/spec/v1
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size 161621802
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