End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-german-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: fine-tuned-distilbert-base-german-cased-WithNeutral
+  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. -->
+
+# fine-tuned-distilbert-base-german-cased-WithNeutral
+
+This model is a fine-tuned version of [distilbert/distilbert-base-german-cased](https://huggingface.co/distilbert/distilbert-base-german-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.1973
+- eval_accuracy: {'accuracy': 0.8}
+- eval_f1score: {'f1': 0.7818796123410687}
+- eval_runtime: 3.3227
+- eval_samples_per_second: 90.289
+- eval_steps_per_second: 5.718
+- step: 0
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 65
+- num_epochs: 20
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "distilbert/distilbert-base-german-cased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": true,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.0",
+  "vocab_size": 31102
+}

model.safetensors

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+size 269617404

training_args.bin

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