End of training
Browse files- README.md +88 -0
- model.safetensors +1 -1
README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: Finetuned_Final_LM_200k_v2
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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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# Finetuned_Final_LM_200k_v2
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5769
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- Accuracy: 0.8410
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- F1: 0.8392
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- Precision: 0.8573
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- Recall: 0.8410
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_steps: 50
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.0074 | 0.08 | 500 | 1.2669 | 0.8482 | 0.8460 | 0.8695 | 0.8482 |
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| 0.1731 | 0.16 | 1000 | 1.5018 | 0.8433 | 0.8411 | 0.8636 | 0.8433 |
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| 0.2369 | 0.24 | 1500 | 2.0563 | 0.8486 | 0.8461 | 0.8721 | 0.8486 |
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| 0.449 | 0.32 | 2000 | 2.4474 | 0.8323 | 0.8301 | 0.8511 | 0.8323 |
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| 0.225 | 0.4 | 2500 | 2.1554 | 0.8471 | 0.8450 | 0.8662 | 0.8471 |
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| 0.2479 | 0.48 | 3000 | 2.3559 | 0.8455 | 0.8438 | 0.8618 | 0.8455 |
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| 0.2345 | 0.56 | 3500 | 2.3197 | 0.8440 | 0.8419 | 0.8639 | 0.8440 |
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| 0.2424 | 0.64 | 4000 | 2.2472 | 0.8414 | 0.8396 | 0.8571 | 0.8414 |
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| 0.1264 | 0.72 | 4500 | 2.3584 | 0.8418 | 0.8398 | 0.8599 | 0.8418 |
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| 0.2699 | 0.8 | 5000 | 2.3153 | 0.8437 | 0.8419 | 0.8600 | 0.8437 |
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| 0.1399 | 0.88 | 5500 | 2.3416 | 0.8471 | 0.8450 | 0.8665 | 0.8471 |
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| 0.3039 | 0.96 | 6000 | 2.4308 | 0.8448 | 0.8429 | 0.8620 | 0.8448 |
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| 0.0499 | 1.04 | 6500 | 2.5017 | 0.8448 | 0.8428 | 0.8628 | 0.8448 |
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| 0.1455 | 1.12 | 7000 | 2.5024 | 0.8444 | 0.8425 | 0.8618 | 0.8444 |
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| 0.3358 | 1.2 | 7500 | 2.3806 | 0.8425 | 0.8405 | 0.8609 | 0.8425 |
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| 0.1951 | 1.28 | 8000 | 2.5782 | 0.8433 | 0.8415 | 0.8592 | 0.8433 |
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| 0.2118 | 1.36 | 8500 | 2.5075 | 0.8429 | 0.8410 | 0.8597 | 0.8429 |
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| 0.3137 | 1.44 | 9000 | 2.5662 | 0.8421 | 0.8403 | 0.8584 | 0.8421 |
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| 0.1125 | 1.52 | 9500 | 2.5881 | 0.8425 | 0.8406 | 0.8602 | 0.8425 |
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| 0.1198 | 1.6 | 10000 | 2.5321 | 0.8418 | 0.8400 | 0.8576 | 0.8418 |
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| 0.2385 | 1.68 | 10500 | 2.5769 | 0.8410 | 0.8392 | 0.8573 | 0.8410 |
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 498615900
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version https://git-lfs.github.com/spec/v1
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oid sha256:373e947e5b7fe50e52477baff544adffbbb18f8c676247b149a30a543045188e
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size 498615900
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