Luongdzung
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End of training
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README.md
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---
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base_model: vlsp-2023-vllm/hoa-1b4
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datasets:
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- eli5_category
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library_name: peft
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license: bigscience-bloom-rail-1.0
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tags:
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- generated_from_trainer
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model-index:
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- name: lora_causalLM
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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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# lora_causalLM
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This model is a fine-tuned version of [vlsp-2023-vllm/hoa-1b4](https://huggingface.co/vlsp-2023-vllm/hoa-1b4) on the eli5_category dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0427
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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: 8
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- eval_batch_size: 8
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- seed: 42
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 203 | 3.0643 |
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| No log | 2.0 | 406 | 3.0469 |
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| 3.0375 | 3.0 | 609 | 3.0427 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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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": "vlsp-2023-vllm/hoa-1b4",
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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": 32,
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"lora_dropout": 0.1,
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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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"query_key_value"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1cde51b3f06f098ca6acc8e362366ead6b7a95df97fd69e217c123dee3ce62b4
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size 6298512
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runs/Aug23_09-29-47_e83cdeba3a36/events.out.tfevents.1724405391.e83cdeba3a36.36.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8fb5746ac7828488702ba4c46dbd32abebc1da8740a2adac674880d8c2516d52
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size 6453
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runs/Aug23_09-29-47_e83cdeba3a36/events.out.tfevents.1724406104.e83cdeba3a36.36.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:45b14c99583ec3733e25d3241ccc2e337ebf1df63f48d084388974407e6b7455
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size 359
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:20d7d7908fb5eb4f89b4fde72f5821dffcf136cb52ffe3d8157f33d8c973465b
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size 5176
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