anger_frustration_detection_v4

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: mit
+base_model: pdelobelle/robbert-v2-dutch-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0945
+- F1: 0.9841
+- Accuracy: 0.9881
+- F1 Yes: 0.9760
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | F1 Yes |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:------:|
+| 0.6781        | 1.0   | 1133 | 0.2196          | 0.9637 | 0.9735   | 0.9449 |
+| 0.1439        | 2.0   | 2266 | 0.1432          | 0.9755 | 0.9819   | 0.9630 |
+| 0.2089        | 3.0   | 3399 | 0.1242          | 0.9828 | 0.9872   | 0.9742 |
+| 0.0851        | 4.0   | 4532 | 0.1035          | 0.9851 | 0.9890   | 0.9775 |
+| 0.1160        | 5.0   | 5665 | 0.1555          | 0.9827 | 0.9872   | 0.9738 |
+| 0.0628        | 6.0   | 6798 | 0.2245          | 0.9796 | 0.9850   | 0.9691 |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

config.json

@@ -0,0 +1,31 @@
+{
+  "add_cross_attention": false,
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "type_vocab_size": 1,
+  "use_cache": false,
+  "vocab_size": 40000
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1b96f9dc8a87a829d71c05550a9cf3512da719b5d06ad79af5a232eab4234da
+size 467078720

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a9ff9617af115134f3b1e03b0ed4548c66f241feee2b91e3d5ed6b216b74123
+size 5201