End of training
Browse files- README.md +57 -0
- adapter_config.json +195 -0
- adapter_model.safetensors +3 -0
- runs/Aug17_13-55-19_oem-WS-C621E-SAGE-Series/events.out.tfevents.1723870522.oem-WS-C621E-SAGE-Series.3587736.0 +3 -0
- runs/Aug18_02-41-27_oem-WS-C621E-SAGE-Series/events.out.tfevents.1723916488.oem-WS-C621E-SAGE-Series.592469.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: cc-by-nc-nd-4.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: kakaobrain/kogpt
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model-index:
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- name: kogpt_pretrained-asd
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# kogpt_pretrained-asd
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This model is a fine-tuned version of [kakaobrain/kogpt](https://huggingface.co/kakaobrain/kogpt) on the None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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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: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "kakaobrain/kogpt",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"transformer.h.7.attn.v_proj",
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| 24 |
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"transformer.h.16.attn.v_proj",
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| 25 |
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"transformer.h.24.attn.out_proj",
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"transformer.h.11.attn.q_proj",
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"transformer.h.23.attn.v_proj",
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"transformer.h.20.attn.out_proj",
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"transformer.h.16.mlp.fc_in",
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"transformer.h.9.mlp.fc_out",
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"transformer.h.16.attn.q_proj",
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"transformer.h.18.mlp.fc_in",
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"transformer.h.6.attn.k_proj",
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"transformer.h.4.attn.out_proj",
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"transformer.h.0.mlp.fc_in",
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"transformer.h.23.attn.out_proj",
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"transformer.h.21.attn.k_proj",
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"transformer.h.25.attn.q_proj",
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"transformer.h.5.attn.v_proj",
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"transformer.h.23.attn.q_proj",
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"transformer.h.12.attn.q_proj",
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"transformer.h.7.attn.q_proj",
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"transformer.h.1.attn.k_proj",
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"transformer.h.18.mlp.fc_out",
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"transformer.h.3.attn.k_proj",
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"transformer.h.20.attn.k_proj",
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"transformer.h.5.mlp.fc_out",
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"transformer.h.2.attn.v_proj",
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"transformer.h.13.attn.k_proj",
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"transformer.h.24.attn.v_proj",
|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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"transformer.h.6.attn.v_proj",
|
| 179 |
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"transformer.h.15.attn.out_proj",
|
| 180 |
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"transformer.h.14.attn.out_proj",
|
| 181 |
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|
| 182 |
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"transformer.h.13.attn.out_proj",
|
| 183 |
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"transformer.h.14.attn.k_proj",
|
| 184 |
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"transformer.h.23.mlp.fc_in",
|
| 185 |
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"transformer.h.8.attn.out_proj",
|
| 186 |
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|
| 187 |
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"transformer.h.19.attn.k_proj",
|
| 188 |
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"transformer.h.26.attn.v_proj",
|
| 189 |
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"transformer.h.12.mlp.fc_out",
|
| 190 |
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"transformer.h.3.mlp.fc_in"
|
| 191 |
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],
|
| 192 |
+
"task_type": "CAUSAL_LM",
|
| 193 |
+
"use_dora": false,
|
| 194 |
+
"use_rslora": false
|
| 195 |
+
}
|
adapter_model.safetensors
ADDED
|
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ADDED
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@@ -0,0 +1,3 @@
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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