willherbert27/bert-combined-no-context-textbook

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-finetuned-combo-textbook-no-context
+  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. -->
+
+# bert-finetuned-combo-textbook-no-context
+
+This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6241
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.4652        | 1.0   | 2444  | 2.2878          |
+| 2.2439        | 2.0   | 4888  | 2.2005          |
+| 2.1422        | 3.0   | 7332  | 2.1331          |
+| 2.0527        | 4.0   | 9776  | 2.0734          |
+| 1.9734        | 5.0   | 12220 | 2.0488          |
+| 1.8752        | 6.0   | 14664 | 1.9844          |
+| 1.7757        | 7.0   | 17108 | 1.9257          |
+| 1.7478        | 8.0   | 19552 | 1.8901          |
+| 1.6469        | 9.0   | 21996 | 1.8797          |
+| 1.5894        | 10.0  | 24440 | 1.8198          |
+| 1.5341        | 11.0  | 26884 | 1.7803          |
+| 1.4563        | 12.0  | 29328 | 1.7602          |
+| 1.4385        | 13.0  | 31772 | 1.7663          |
+| 1.3534        | 14.0  | 34216 | 1.7007          |
+| 1.3007        | 15.0  | 36660 | 1.6705          |
+| 1.2689        | 16.0  | 39104 | 1.6996          |
+| 1.2268        | 17.0  | 41548 | 1.6319          |
+| 1.2152        | 18.0  | 43992 | 1.6599          |
+| 1.1317        | 19.0  | 46436 | 1.6433          |
+| 1.1133        | 20.0  | 48880 | 1.6241          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 1.13.1+cu116
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-cased",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

model.safetensors

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+size 433386912

training_args.bin

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+size 4475