willherbert27/electra-combined-textbook

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: 2.0465
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.1458        | 1.0   | 2468  | 2.8891          |
+| 2.8707        | 2.0   | 4936  | 2.7016          |
+| 2.7021        | 3.0   | 7404  | 2.5199          |
+| 2.6068        | 4.0   | 9872  | 2.4902          |
+| 2.5111        | 5.0   | 12340 | 2.4149          |
+| 2.4193        | 6.0   | 14808 | 2.3743          |
+| 2.383         | 7.0   | 17276 | 2.3333          |
+| 2.3082        | 8.0   | 19744 | 2.2770          |
+| 2.2723        | 9.0   | 22212 | 2.2606          |
+| 2.2151        | 10.0  | 24680 | 2.2444          |
+| 2.1869        | 11.0  | 27148 | 2.1859          |
+| 2.1588        | 12.0  | 29616 | 2.1959          |
+| 2.1188        | 13.0  | 32084 | 2.1490          |
+| 2.0947        | 14.0  | 34552 | 2.1259          |
+| 2.06          | 15.0  | 37020 | 2.1211          |
+| 1.9976        | 16.0  | 39488 | 2.0701          |
+| 1.9975        | 17.0  | 41956 | 2.1048          |
+| 1.9479        | 18.0  | 44424 | 2.1072          |
+| 1.9215        | 19.0  | 46892 | 2.0794          |
+| 1.9426        | 20.0  | 49360 | 2.0465          |
+
+
+### 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 sha256:893b030d52ef6bb3fb136b94e41ee30ca7f5d0ee4f53ecf77ff88507e192119c
+size 54210824

training_args.bin

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+oid sha256:3b54324e724350afb9314eb0ab6af23013591fcf6d964555091ae89400d5f877
+size 4475