inital commit => add model

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: first
+  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. -->
+
+# first
+
+This model is a fine-tuned version of [longformer-gottbert-base-8192-aw512-](https://huggingface.co/longformer-8192-aw512-gottbert-base) on the a 500 million token subset of the german parts of the OSCAR dataset.
+It achieves the following results on the custom evaluation set:
+- Loss: 1.4981
+
+## Model description
+
+The weights of the model are initialized from the german version of Roberta [gottbert-base](https://huggingface.co/uklfr/gottbert-base).
+The local attention windows have a fixed size of 512 tokens across all layers.
+The maximum sequence length is 8192.
+
+## Intended uses & limitations
+
+Longformer models enable processing long texts using a mixture of local attention on each subword token and task specific global attention on a subset of the tokens.
+
+## Training and evaluation data
+
+The [OSCAR](https://oscar-corpus.com) dataset is freely avaible corpus of filtered web texts from the Common Crawl in various languages. We used the 2017 version of the dataset. 
+
+## Training procedure
+The model was trained with masked language modeling for 3 epochs on a customly created 500m tokens subset of the german proportion of the oscar dataset.
+It was validated using 5% of the original subset. 
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.5636        | 0.1   | 500   | 2.2399          |
+| 2.0426        | 0.2   | 1000  | 1.8841          |
+| 1.9653        | 0.3   | 1500  | 1.7807          |
+| 1.9422        | 0.4   | 2000  | 1.7206          |
+| 1.9323        | 0.49  | 2500  | 1.6800          |
+| 1.7587        | 0.59  | 3000  | 1.6507          |
+| 1.7239        | 0.69  | 3500  | 1.6316          |
+| 1.7452        | 0.79  | 4000  | 1.6137          |
+| 1.7415        | 0.89  | 4500  | 1.5983          |
+| 1.7733        | 0.99  | 5000  | 1.5830          |
+| 1.7656        | 1.09  | 5500  | 1.5735          |
+| 1.6543        | 1.19  | 6000  | 1.5643          |
+| 1.7131        | 1.28  | 6500  | 1.5546          |
+| 1.6456        | 1.38  | 7000  | 1.5503          |
+| 1.716         | 1.48  | 7500  | 1.5422          |
+| 1.806         | 1.58  | 8000  | 1.5377          |
+| 1.8407        | 1.68  | 8500  | 1.5327          |
+| 1.6371        | 1.78  | 9000  | 1.5278          |
+| 1.6453        | 1.88  | 9500  | 1.5231          |
+| 1.7754        | 1.98  | 10000 | 1.5214          |
+| 1.7695        | 2.08  | 10500 | 1.5165          |
+| 1.7109        | 2.17  | 11000 | 1.5138          |
+| 1.6992        | 2.27  | 11500 | 1.5107          |
+| 1.6707        | 2.37  | 12000 | 1.5097          |
+| 1.6835        | 2.47  | 12500 | 1.5040          |
+| 1.7171        | 2.57  | 13000 | 1.5041          |
+| 1.7257        | 2.67  | 13500 | 1.4990          |
+| 1.6287        | 2.77  | 14000 | 1.5017          |
+| 1.7737        | 2.87  | 14500 | 1.4983          |
+| 1.4002        | 2.96  | 15000 | 1.4992          |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.1+cu113
+- Datasets 1.17.0
+- Tokenizers 0.10.3

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_loss": 1.4981467723846436,
+    "eval_runtime": 720.2531,
+    "eval_samples": 4150,
+    "eval_samples_per_second": 5.762,
+    "eval_steps_per_second": 1.441,
+    "perplexity": 4.4733911717118096,
+    "train_loss": 1.8764679098788928,
+    "train_runtime": 196645.256,
+    "train_samples": 80971,
+    "train_samples_per_second": 1.235,
+    "train_steps_per_second": 0.077
+}

config.json

@@ -0,0 +1,42 @@
+{
+  "_name_or_path": "longformer-8192-aw512-gottbert-base",
+  "architectures": [
+    "LongformerForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "attention_window": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "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": 8194,
+  "model_type": "longformer",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "sep_token_id": 2,
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 52009
+}

eval_results.json

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+{
+    "epoch": 3.0,
+    "eval_loss": 1.4981467723846436,
+    "eval_runtime": 720.2531,
+    "eval_samples": 4150,
+    "eval_samples_per_second": 5.762,
+    "eval_steps_per_second": 1.441,
+    "perplexity": 4.4733911717118096
+}

pytorch_model.bin

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special_tokens_map.json

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+{"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}

tokenizer_config.json

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+{"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "errors": "replace", "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "trim_offsets": true, "special_tokens_map_file": null, "name_or_path": "longformer-8192-aw512-gottbert-base", "model_max_length": 8192, "tokenizer_class": "LongformerTokenizer"}

train_results.json

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+{
+    "epoch": 3.0,
+    "train_loss": 1.8764679098788928,
+    "train_runtime": 196645.256,
+    "train_samples": 80971,
+    "train_samples_per_second": 1.235,
+    "train_steps_per_second": 0.077
+}

training_args.bin

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