Training completed!

README.md

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+---
+license: apache-2.0
+base_model: funnel-transformer/small-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Funnel-finetuned-stationary-update
+  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. -->
+
+# Funnel-finetuned-stationary-update
+
+This model is a fine-tuned version of [funnel-transformer/small-base](https://huggingface.co/funnel-transformer/small-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6506
+- Accuracy: 0.8267
+- F1: 0.8212
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.6307        | 1.0   | 38   | 0.5364          | 0.6667   | 0.5333 |
+| 0.5143        | 2.0   | 76   | 0.4769          | 0.6667   | 0.5333 |
+| 0.4497        | 3.0   | 114  | 0.5060          | 0.7567   | 0.7270 |
+| 0.398         | 4.0   | 152  | 0.5025          | 0.8167   | 0.8082 |
+| 0.3168        | 5.0   | 190  | 0.4550          | 0.8033   | 0.8072 |
+| 0.2705        | 6.0   | 228  | 0.5615          | 0.8133   | 0.8034 |
+| 0.2016        | 7.0   | 266  | 0.5831          | 0.83     | 0.8213 |
+| 0.1492        | 8.0   | 304  | 0.6144          | 0.83     | 0.8243 |
+| 0.1184        | 9.0   | 342  | 0.6269          | 0.82     | 0.8150 |
+| 0.0935        | 10.0  | 380  | 0.6506          | 0.8267   | 0.8212 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "funnel-transformer/small-base",
+  "activation_dropout": 0.0,
+  "architectures": [
+    "FunnelForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "attention_type": "relative_shift",
+  "block_repeats": [
+    1,
+    1,
+    1
+  ],
+  "block_sizes": [
+    4,
+    4,
+    4
+  ],
+  "d_head": 64,
+  "d_inner": 3072,
+  "d_model": 768,
+  "hidden_act": "gelu_new",
+  "hidden_dropout": 0.1,
+  "initializer_range": 0.1,
+  "initializer_std": null,
+  "layer_norm_eps": 1e-09,
+  "max_position_embeddings": 512,
+  "model_type": "funnel",
+  "n_head": 12,
+  "num_decoder_layers": 2,
+  "pool_q_only": true,
+  "pooling_type": "mean",
+  "problem_type": "single_label_classification",
+  "rel_attn_type": "factorized",
+  "separate_cls": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "truncate_seq": true,
+  "type_vocab_size": 3,
+  "vocab_size": 30522
+}

model.safetensors

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runs/Dec14_11-24-53_3955bca2d3a3/events.out.tfevents.1702553113.3955bca2d3a3.167.0

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "cls_token": {
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+    "single_word": false
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+  "eos_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "special": true
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+    "103": {
+      "content": "<mask>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<cls>",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "<pad>",
+  "sep_token": "<sep>",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "FunnelTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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