haryoaw
/

scenario-kd-from-post-finetune-gold-silver-div-2-data-tweet_eval-sentiment-model

+---
+license: mit
+base_model: haryoaw/teacher_tweet_eval_sentiment_xlmr_base
+tags:
+- generated_from_trainer
+datasets:
+- tweet_eval
+metrics:
+- accuracy
+- f1
+model-index:
+- name: scenario-kd-from-post-finetune-gold-silver-div-2-data-tweet_eval-sentiment-model
+  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. -->
+# scenario-kd-from-post-finetune-gold-silver-div-2-data-tweet_eval-sentiment-model
+This model is a fine-tuned version of [haryoaw/teacher_tweet_eval_sentiment_xlmr_base](https://huggingface.co/haryoaw/teacher_tweet_eval_sentiment_xlmr_base) on the tweet_eval dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3344
+- Accuracy: 0.734
+- F1: 0.7061
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6969
+### Training results
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 1.838         | 0.7   | 1000  | 1.8178          | 0.71     | 0.6779 |
+| 1.3953        | 1.4   | 2000  | 1.5675          | 0.72     | 0.6988 |
+| 1.2818        | 2.1   | 3000  | 1.6086          | 0.7205   | 0.6892 |
+| 1.1321        | 2.81  | 4000  | 1.6146          | 0.7235   | 0.7013 |
+| 0.9348        | 3.51  | 5000  | 1.6493          | 0.719    | 0.6902 |
+| 0.9139        | 4.21  | 6000  | 1.5044          | 0.719    | 0.7026 |
+| 0.8836        | 4.91  | 7000  | 1.4467          | 0.728    | 0.7068 |
+| 0.7857        | 5.61  | 8000  | 1.4894          | 0.727    | 0.6971 |
+| 0.7366        | 6.31  | 9000  | 1.4895          | 0.7265   | 0.7052 |
+| 0.7471        | 7.01  | 10000 | 1.4055          | 0.73     | 0.7089 |
+| 0.7067        | 7.71  | 11000 | 1.4671          | 0.729    | 0.7055 |
+| 0.6668        | 8.42  | 12000 | 1.4966          | 0.729    | 0.7011 |
+| 0.6608        | 9.12  | 13000 | 1.4326          | 0.722    | 0.7006 |
+| 0.6371        | 9.82  | 14000 | 1.4281          | 0.724    | 0.7005 |
+| 0.6047        | 10.52 | 15000 | 1.4260          | 0.7225   | 0.6954 |
+| 0.5929        | 11.22 | 16000 | 1.4013          | 0.7235   | 0.6974 |
+| 0.5963        | 11.92 | 17000 | 1.3812          | 0.727    | 0.7053 |
+| 0.5777        | 12.62 | 18000 | 1.3694          | 0.727    | 0.7029 |
+| 0.5587        | 13.32 | 19000 | 1.4384          | 0.724    | 0.6951 |
+| 0.5631        | 14.03 | 20000 | 1.3488          | 0.732    | 0.7097 |
+| 0.538         | 14.73 | 21000 | 1.3758          | 0.7285   | 0.7042 |
+| 0.5365        | 15.43 | 22000 | 1.3314          | 0.7305   | 0.7059 |
+| 0.5339        | 16.13 | 23000 | 1.3576          | 0.729    | 0.7046 |
+| 0.5232        | 16.83 | 24000 | 1.3652          | 0.732    | 0.7065 |
+| 0.5082        | 17.53 | 25000 | 1.4092          | 0.729    | 0.7015 |
+| 0.5015        | 18.23 | 26000 | 1.3548          | 0.726    | 0.7019 |
+| 0.5035        | 18.93 | 27000 | 1.3637          | 0.7335   | 0.7076 |
+| 0.4932        | 19.64 | 28000 | 1.3489          | 0.7205   | 0.6968 |
+| 0.4867        | 20.34 | 29000 | 1.3753          | 0.7385   | 0.7135 |
+| 0.4819        | 21.04 | 30000 | 1.3652          | 0.727    | 0.7050 |
+| 0.4782        | 21.74 | 31000 | 1.3339          | 0.743    | 0.7194 |
+| 0.4712        | 22.44 | 32000 | 1.3229          | 0.728    | 0.7059 |
+| 0.4677        | 23.14 | 33000 | 1.3203          | 0.7365   | 0.7114 |
+| 0.4736        | 23.84 | 34000 | 1.3605          | 0.7345   | 0.7114 |
+| 0.4551        | 24.54 | 35000 | 1.3491          | 0.724    | 0.7016 |
+| 0.458         | 25.25 | 36000 | 1.3663          | 0.739    | 0.7063 |
+| 0.4545        | 25.95 | 37000 | 1.3502          | 0.734    | 0.7087 |
+| 0.4471        | 26.65 | 38000 | 1.3435          | 0.7375   | 0.7100 |
+| 0.441         | 27.35 | 39000 | 1.3069          | 0.7435   | 0.7155 |
+| 0.4495        | 28.05 | 40000 | 1.3175          | 0.7285   | 0.7037 |
+| 0.4411        | 28.75 | 41000 | 1.3344          | 0.734    | 0.7061 |
+### Framework versions
+- Transformers 4.33.3
+- Pytorch 2.0.1
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json ADDED Viewed

	@@ -0,0 +1,39 @@

+{
+  "_name_or_path": "haryoaw/teacher_tweet_eval_sentiment_xlmr_base",
+  "architectures": [
+    "XLMRobertaForSequenceClassificationKD"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7d13cb5f290a21d301b9333aa0e51bedc8caa68c6123b37adfa93100852ad260
+size 942110641

training_args.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:94b978530e87bd8f566adaef1740d38f54c1869935bbdc2068b6c468856c66d3
+size 4219