Saving best model of test_TwoWayLoss_25K_bs64_P4_N1 to hub

README.md

@@ -0,0 +1,68 @@
+---
+base_model: allenai/scibert_scivocab_uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: test_TwoWayLoss_25K_bs64_P4_N1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# test_TwoWayLoss_25K_bs64_P4_N1
+
+This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6265
+- Accuracy: 0.7094
+- Precision: 0.0099
+- Recall: 0.2915
+- F1: 0.0192
+- Hamming: 0.2906
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Hamming |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
+| 0.6921        | 0.0   | 5    | 0.6507          | 0.6448   | 0.0101    | 0.3639 | 0.0196 | 0.3552  |
+| 0.6402        | 0.0   | 10   | 0.6265          | 0.7094   | 0.0099    | 0.2915 | 0.0192 | 0.2906  |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.7.1
+- Tokenizers 0.14.1

all_results.json

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+    "train_loss": 0.6661087989807128,
+    "train_runtime": 158.3661,
+    "train_samples_per_second": 0.505,
+    "train_steps_per_second": 0.063
+}

config.json

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+  ],
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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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