willherbert27/xlnet-combined-textbook

README.md

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+---
+license: mit
+base_model: xlnet/xlnet-base-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: xlnet-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. -->
+
+# xlnet-finetuned-combo-textbook
+
+This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0808
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 4.253         | 1.0   | 4936  | 4.0294          |
+| 3.9996        | 2.0   | 9872  | 3.7778          |
+| 3.7934        | 3.0   | 14808 | 3.6649          |
+| 3.6521        | 4.0   | 19744 | 3.5187          |
+| 3.4482        | 5.0   | 24680 | 3.4388          |
+| 3.3614        | 6.0   | 29616 | 3.3667          |
+| 3.2806        | 7.0   | 34552 | 3.2489          |
+| 3.1099        | 8.0   | 39488 | 3.1831          |
+| 2.9822        | 9.0   | 44424 | 3.1453          |
+| 2.9188        | 10.0  | 49360 | 3.0808          |
+
+
+### 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": "xlnet/xlnet-base-cased",
+  "architectures": [
+    "XLNetLMHeadModel"
+  ],
+  "attn_type": "bi",
+  "bi_data": false,
+  "bos_token_id": 1,
+  "clamp_len": -1,
+  "d_head": 64,
+  "d_inner": 3072,
+  "d_model": 768,
+  "dropout": 0.1,
+  "end_n_top": 5,
+  "eos_token_id": 2,
+  "ff_activation": "gelu",
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-12,
+  "mem_len": null,
+  "model_type": "xlnet",
+  "n_head": 12,
+  "n_layer": 12,
+  "pad_token_id": 5,
+  "reuse_len": null,
+  "same_length": false,
+  "start_n_top": 5,
+  "summary_activation": "tanh",
+  "summary_last_dropout": 0.1,
+  "summary_type": "last",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 250
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "untie_r": true,
+  "use_mems_eval": true,
+  "use_mems_train": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 5,
+  "transformers_version": "4.38.2"
+}

model.safetensors

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+oid sha256:5842c21c0b2a24359046f62e448f3c63d3a7bda6f43ced21ba10c35132338947
+size 467023808

training_args.bin

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+size 4475