End of training

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: trainer8
+  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. -->
+
+# trainer8
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7360
+- Precision: 0.2889
+- Recall: 0.2738
+- F1: 0.2509
+- Accuracy: 0.2738
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 2.0043        | 0.57  | 30   | 1.9531          | 0.0204    | 0.1429 | 0.0357 | 0.1429   |
+| 1.9325        | 1.13  | 60   | 1.9080          | 0.1615    | 0.2143 | 0.1460 | 0.2143   |
+| 1.8774        | 1.7   | 90   | 1.8684          | 0.3164    | 0.2143 | 0.1910 | 0.2143   |
+| 1.835         | 2.26  | 120  | 1.7834          | 0.1535    | 0.2619 | 0.1825 | 0.2619   |
+| 1.7079        | 2.83  | 150  | 1.7444          | 0.2040    | 0.2857 | 0.2180 | 0.2857   |
+| 1.6089        | 3.4   | 180  | 1.7426          | 0.3652    | 0.3214 | 0.2789 | 0.3214   |
+| 1.6118        | 3.96  | 210  | 1.7444          | 0.2285    | 0.25   | 0.1993 | 0.25     |
+| 1.5414        | 4.53  | 240  | 1.7426          | 0.2625    | 0.3095 | 0.2704 | 0.3095   |
+| 1.5095        | 5.09  | 270  | 1.7443          | 0.3820    | 0.2619 | 0.2186 | 0.2619   |
+| 1.4397        | 5.66  | 300  | 1.7368          | 0.2545    | 0.2976 | 0.2382 | 0.2976   |
+| 1.4319        | 6.23  | 330  | 1.7444          | 0.3844    | 0.2738 | 0.2566 | 0.2738   |
+| 1.4072        | 6.79  | 360  | 1.7384          | 0.3680    | 0.2857 | 0.2588 | 0.2857   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,51 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "attention_probs_dropout_prob": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dim": 3072,
+  "hidden_dropout_prob": 0.1,
+  "id2label": {
+    "0": "anger",
+    "1": "fear",
+    "2": "joy",
+    "3": "love",
+    "4": "neutral",
+    "5": "sadness",
+    "6": "surprise"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:239de5ddc5a7f65549b2ed59583c44ecf6fae1c91e8f0fd6ab6a0522a5c469c5
+size 437968636

runs/Mar12_22-37-29_2530b40b6199/events.out.tfevents.1710283053.2530b40b6199.296.7

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c80841cf6716fe3c79ef0123dbfef2621bbfdb8a306564c29c0854ca28afb528
+size 6395

runs/Mar12_23-06-01_2530b40b6199/events.out.tfevents.1710284775.2530b40b6199.296.8

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61befb92b4771dc050067ecf5da9a9347c023a72dc490e19b6d716af334e5801
+size 13456

runs/Mar12_23-06-01_2530b40b6199/events.out.tfevents.1710287517.2530b40b6199.296.9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a48afedf6a71f8974d9cddebe87a45330279de0ab15abe8ae0f7c013d5de640
+size 560

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 +1,57 @@
+{
+  "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_basic_tokenize": true,
+  "do_lower_case": true,
+  "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": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a350d98d9c50022f698d1f446e02d7111b095a5de05b2ea056fe82e41fc3f8ad
+size 4856