add model

README.md

@@ -1,20 +1,19 @@
 ---
-license: apache-2.0
 tags:
-- generated_from_trainer
-datasets:
-- big_patent
+- generated_from_keras_callback
 model-index:
 - name: led-base-16384-finetuned-big_patent
   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. -->
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
 
 # led-base-16384-finetuned-big_patent
 
-This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the big_patent dataset.
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+
 
 ## Model description
 
@@ -33,16 +32,8 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 4
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 1
-- mixed_precision_training: Native AMP
+- optimizer: None
+- training_precision: float32
 
 ### Training results
 
@@ -50,7 +41,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.19.4
-- Pytorch 1.11.0+cu113
-- Datasets 2.2.2
+- Transformers 4.20.1
+- TensorFlow 2.8.2
+- Datasets 2.3.2
 - Tokenizers 0.12.1

config.json

@@ -1,9 +1,9 @@
 {
-  "_name_or_path": "allenai/led-base-16384",
+  "_name_or_path": "robingeibel/led-base-16384-finetuned-big_patent",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "architectures": [
-    "LEDForConditionalGeneration"
+    "LEDModel"
   ],
   "attention_dropout": 0.0,
   "attention_window": [
@@ -54,7 +54,7 @@
   "num_hidden_layers": 6,
   "pad_token_id": 1,
   "torch_dtype": "float32",
-  "transformers_version": "4.19.4",
+  "transformers_version": "4.20.1",
   "use_cache": true,
   "vocab_size": 50265
 }

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48158bab6bd496f1864a9334373f6ad6d5a23eb7ac45ac686c3e7707991702ed
+size 647701880