End of training

README.md

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+---
+base_model: allenai/scibert_scivocab_uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: scibert_scivocab_uncased-finetuned-molstm-mlm-0.3-5epochs
+  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. -->
+
+# scibert_scivocab_uncased-finetuned-molstm-mlm-0.3-5epochs
+
+This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6660
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0053        | 1.0   | 512  | 0.8043          |
+| 0.8263        | 2.0   | 1024 | 0.7319          |
+| 0.7641        | 3.0   | 1536 | 0.6908          |
+| 0.7303        | 4.0   | 2048 | 0.6738          |
+| 0.7174        | 5.0   | 2560 | 0.6644          |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.0.1
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.37.2"
+}