haspeech_ita

README.md

@@ -0,0 +1,71 @@
+---
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: haspeech_ita
+  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. -->
+
+# haspeech_ita
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1077
+- Accuracy: 0.9837
+
+## 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: 24
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6174        | 0.72  | 100  | 0.5599          | 0.7425   |
+| 0.5737        | 1.44  | 200  | 0.4727          | 0.7886   |
+| 0.4188        | 2.16  | 300  | 0.3844          | 0.8482   |
+| 0.2411        | 2.88  | 400  | 0.1425          | 0.9566   |
+| 0.1376        | 3.6   | 500  | 0.1483          | 0.9566   |
+| 0.1045        | 4.32  | 600  | 0.1069          | 0.9783   |
+| 0.0485        | 5.04  | 700  | 0.1390          | 0.9783   |
+| 0.0217        | 5.76  | 800  | 0.0962          | 0.9864   |
+| 0.0137        | 6.47  | 900  | 0.0788          | 0.9892   |
+| 0.0049        | 7.19  | 1000 | 0.1223          | 0.9810   |
+| 0.0043        | 7.91  | 1100 | 0.1077          | 0.9837   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "bert-base-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "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": 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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:955f4ca3e0f44b8f568236be8b471b632d25e99adfcb15fdd7a773bd72f57212
+size 433270768

runs/Nov27_10-16-24_13035cb65e56/events.out.tfevents.1701080204.13035cb65e56.16183.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:67d731f038b0cd92928b3dfc7ba1b41191e3180a09b0a5d9602ccecdf90b049d
+size 4206

runs/Nov27_10-23-13_13035cb65e56/events.out.tfevents.1701080596.13035cb65e56.16183.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4127489f1f0531b09cf2ab2192abdd5c71c51158daa5b6213409373cb77e06c
+size 8517

runs/Nov27_10-40-00_13035cb65e56/events.out.tfevents.1701081602.13035cb65e56.19179.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6fce0d999e809892325c0884a587b2b7410ef97b462bfe0763e8655a71c98e49
+size 9830

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 +1,55 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "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:d9276b7dd32a621df8e1e3029ac54cf2a0d9f9dc1eaa082f133bb0ecd72cf101
+size 4155