willherbert27/electra-combined-textbook-no-context

README.md

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+---
+license: apache-2.0
+base_model: google/electra-small-generator
+tags:
+- generated_from_trainer
+model-index:
+- name: electra-finetuned-combo-textbook
+  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. -->
+
+# electra-finetuned-combo-textbook
+
+This model is a fine-tuned version of [google/electra-small-generator](https://huggingface.co/google/electra-small-generator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0564
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.1589        | 1.0   | 2444  | 2.8061          |
+| 2.8979        | 2.0   | 4888  | 2.6797          |
+| 2.7362        | 3.0   | 7332  | 2.5658          |
+| 2.6336        | 4.0   | 9776  | 2.5164          |
+| 2.5261        | 5.0   | 12220 | 2.4465          |
+| 2.4427        | 6.0   | 14664 | 2.4096          |
+| 2.3747        | 7.0   | 17108 | 2.3456          |
+| 2.2923        | 8.0   | 19552 | 2.3135          |
+| 2.2594        | 9.0   | 21996 | 2.2672          |
+| 2.2265        | 10.0  | 24440 | 2.2565          |
+| 2.2075        | 11.0  | 26884 | 2.2290          |
+| 2.1548        | 12.0  | 29328 | 2.1606          |
+| 2.0962        | 13.0  | 31772 | 2.2014          |
+| 2.0714        | 14.0  | 34216 | 2.1514          |
+| 2.0423        | 15.0  | 36660 | 2.1457          |
+| 2.0263        | 16.0  | 39104 | 2.0935          |
+| 2.0029        | 17.0  | 41548 | 2.1112          |
+| 1.9786        | 18.0  | 43992 | 2.0855          |
+| 1.9352        | 19.0  | 46436 | 2.0737          |
+| 1.9182        | 20.0  | 48880 | 2.0564          |
+
+
+### 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/electra-small-generator",
+  "architectures": [
+    "ElectraForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "embedding_size": 128,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 256,
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "electra",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "summary_activation": "gelu",
+  "summary_last_dropout": 0.1,
+  "summary_type": "first",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:3b617d2603d52c61b3415c2b56729907b4ef320afa44dfdec504bc794914b1b6
+size 54210824

training_args.bin

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+oid sha256:b7ee47884b64382e71f4244318d43941328639fe7270a120130517c495400a96
+size 4475