Training complete
Browse files- README.md +76 -0
- model.safetensors +1 -1
README.md
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---
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base_model: LennartKeller/longformer-gottbert-base-8192-aw512
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: de_longformer_abstr_summ
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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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# de_longformer_abstr_summ
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This model is a fine-tuned version of [LennartKeller/longformer-gottbert-base-8192-aw512](https://huggingface.co/LennartKeller/longformer-gottbert-base-8192-aw512) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5746
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- Precision: 0.1612
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- Recall: 0.2474
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- F1: 0.1952
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- Accuracy: 0.7800
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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: 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: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 0.98 | 48 | 0.5548 | 0.0 | 0.0 | 0.0 | 0.7540 |
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| No log | 1.99 | 97 | 0.5185 | 0.1067 | 0.1548 | 0.1263 | 0.7864 |
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| No log | 2.99 | 146 | 0.5068 | 0.0876 | 0.1534 | 0.1115 | 0.7806 |
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| No log | 4.0 | 195 | 0.5145 | 0.2797 | 0.3889 | 0.3254 | 0.7926 |
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| No log | 4.98 | 243 | 0.5097 | 0.2068 | 0.3439 | 0.2583 | 0.7916 |
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| No log | 5.99 | 292 | 0.5073 | 0.1637 | 0.2831 | 0.2075 | 0.7920 |
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| No log | 6.99 | 341 | 0.5316 | 0.1723 | 0.2553 | 0.2058 | 0.7865 |
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| No log | 8.0 | 390 | 0.5480 | 0.1483 | 0.2275 | 0.1795 | 0.7837 |
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| No log | 8.98 | 438 | 0.5587 | 0.1649 | 0.2725 | 0.2055 | 0.7823 |
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| No log | 9.85 | 480 | 0.5746 | 0.1612 | 0.2474 | 0.1952 | 0.7800 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.2.1
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 610262228
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version https://git-lfs.github.com/spec/v1
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oid sha256:c757a1357e039d82387da7548841dc97ce2f8dcebb922ae9964bbf5da85368da
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size 610262228
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