End of training

README.md

@@ -0,0 +1,68 @@
+---
+library_name: transformers
+base_model: michellejieli/emotion_text_classifier
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: sentiment_analysis_for_emotion_chat_bot
+  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. -->
+
+# sentiment_analysis_for_emotion_chat_bot
+
+This model is a fine-tuned version of [michellejieli/emotion_text_classifier](https://huggingface.co/michellejieli/emotion_text_classifier) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4012
+- Accuracy: 0.8653
+- F1-score: 0.8582
+- Num Input Tokens Seen: 130810880
+
+## 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: 0.0001
+- 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: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1-score | Input Tokens Seen |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:-----------------:|
+| No log        | 1.0   | 6388  | 0.3932          | 0.8715   | 0.8678   | 26162176          |
+| 0.6659        | 2.0   | 12776 | 0.3770          | 0.8724   | 0.8680   | 52324352          |
+| 0.6659        | 3.0   | 19164 | 0.3531          | 0.8776   | 0.8749   | 78486528          |
+| 0.643         | 4.0   | 25552 | 0.3735          | 0.8726   | 0.8696   | 104648704         |
+| 0.643         | 5.0   | 31940 | 0.4012          | 0.8653   | 0.8582   | 130810880         |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

config.json

@@ -26,7 +26,7 @@
     "anger": 1,
     "disgust": 2,
     "fear": 3,
-    "joy": 4,
+    "happiness": 4,
     "neutral": 0,
     "sadness": 5,
     "surprise": 6
@@ -40,8 +40,8 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.36.2",
+  "transformers_version": "4.44.2",
   "type_vocab_size": 1,
-  "use_cache": true,
+  "use_cache": false,
   "vocab_size": 50265
 }

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:101e13a625e09c3b95d34aa00b14ffa59a49c3fd6b212927d089683dce3fcbca
 size 328507660

tokenizer.json

@@ -7,9 +7,7 @@
     "stride": 0
   },
   "padding": {
-    "strategy": {
-      "Fixed": 512
-    },
+    "strategy": "BatchLongest",
     "direction": "Right",
     "pad_to_multiple_of": null,
     "pad_id": 1,
@@ -97,6 +95,7 @@
     "end_of_word_suffix": "",
     "fuse_unk": false,
     "byte_fallback": false,
+    "ignore_merges": false,
     "vocab": {
       "<s>": 0,
       "<pad>": 1,

training_args.bin

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+oid sha256:c08ef626a255b5aa9779f36463699999bd85c8257a0da01aae061ed79c7d722c
+size 5240