End of training

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- emotion
+metrics:
+- accuracy
+model-index:
+- name: results
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: split
+      split: validation
+      args: split
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.928
+---
+
+<!-- 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1632
+- Accuracy: 0.928
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2224        | 1.0   | 1000 | 0.1812          | 0.934    |
+| 0.1269        | 2.0   | 2000 | 0.1562          | 0.9415   |
+| 0.0801        | 3.0   | 3000 | 0.1516          | 0.9405   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -8,7 +8,23 @@
   "dim": 768,
   "dropout": 0.1,
   "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5"
+  },
   "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5
+  },
   "max_position_embeddings": 512,
   "model_type": "distilbert",
   "n_heads": 12,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d13c9e47901aa87ac45696f3b148e1afd8fc140159dfa67cca95ca27f00ae0a6
-size 267832560
+oid sha256:f77b624d3ff8e47690a4b87fa681bc6507b2b34bec64ee3611842fd750838b1a
+size 267844872

runs/Mar10_22-16-31_fa8d0bdd99a3/events.out.tfevents.1710109004.fa8d0bdd99a3.4644.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68b6a5f8c8fed9986db577789a4c1a3b80401875c7d7a3742bea1b9fd9ee517a
-size 6966
+oid sha256:7e37653748ff1bbf9718e4e193277bf31815e12afa15cd6a13b1ce14a899a5db
+size 7643

runs/Mar10_22-16-31_fa8d0bdd99a3/events.out.tfevents.1710109957.fa8d0bdd99a3.4644.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae6fe6230d654f446817c2b11ae8532517d100874913ff2c8d0157524bbc7d9c
+size 411

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a65e6a3044cfb881751aa84e401d40f153049877cc93f78691559741d22b938
+oid sha256:d41f542cc78015e7a949f97f2b76066dc23c10f6a5ee65b523e303d94000ae2c
 size 4920