End of training

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+license: mit
+base_model: google-bert/bert-base-german-dbmdz-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: acb1a7ea85ac9779d2da7d5853fe0f82
+  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. -->
+
+# acb1a7ea85ac9779d2da7d5853fe0f82
+
+This model is a fine-tuned version of [google-bert/bert-base-german-dbmdz-cased](https://huggingface.co/google-bert/bert-base-german-dbmdz-cased) on the contemmcm/amazon_reviews_2013 [cell-phone] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9231
+- Data Size: 1.0
+- Epoch Runtime: 107.2634
+- Accuracy: 0.6672
+- F1 Macro: 0.5926
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|
+| No log        | 0     | 0     | 1.6855          | 0         | 7.3280        | 0.1815   | 0.1099   |
+| No log        | 1     | 1973  | 1.5024          | 0.0078    | 8.6292        | 0.3036   | 0.1516   |
+| 0.0318        | 2     | 3946  | 1.3125          | 0.0156    | 8.7919        | 0.4701   | 0.2408   |
+| 1.192         | 3     | 5919  | 1.1183          | 0.0312    | 10.4265       | 0.5381   | 0.3511   |
+| 1.0552        | 4     | 7892  | 1.0130          | 0.0625    | 13.7176       | 0.5757   | 0.4726   |
+| 0.9694        | 5     | 9865  | 0.9311          | 0.125     | 19.9050       | 0.6147   | 0.4945   |
+| 0.9042        | 6     | 11838 | 0.8656          | 0.25      | 32.9112       | 0.6429   | 0.5302   |
+| 0.8763        | 7     | 13811 | 0.8349          | 0.5       | 57.9569       | 0.6461   | 0.5643   |
+| 0.7884        | 8.0   | 15784 | 0.8012          | 1.0       | 108.7645      | 0.6646   | 0.5911   |
+| 0.7013        | 9.0   | 17757 | 0.8179          | 1.0       | 107.0642      | 0.6765   | 0.5908   |
+| 0.6005        | 10.0  | 19730 | 0.8713          | 1.0       | 107.7805      | 0.6511   | 0.5953   |
+| 0.5411        | 11.0  | 21703 | 0.9613          | 1.0       | 109.1855      | 0.6551   | 0.5817   |
+| 0.4842        | 12.0  | 23676 | 0.9231          | 1.0       | 107.2634      | 0.6672   | 0.5926   |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.2.0
+- Tokenizers 0.22.1

config.json

@@ -0,0 +1,39 @@
+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31102
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b621deb4368f162c1230a853b4b34c5c99df1500eece7eeed07aacb641e9d144
+size 439749636

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,56 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "104": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:709e3fcbbe18081a56c85739589cd44fff37c76d53d4fa94b0dbc10cfd1627cf
+size 5969