RitaQi/roberta-test2

README.md

@@ -0,0 +1,51 @@
+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+datasets:
+- ag_news
+model-index:
+- name: roberta-test2
+  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. -->
+
+# roberta-test2
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the ag_news dataset.
+
+## 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: 8000
+- eval_batch_size: 8000
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5000
+- num_epochs: 1
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.1+cpu
+- Datasets 2.14.4
+- Tokenizers 0.13.3

config.json

@@ -1,7 +1,7 @@
 {
   "_name_or_path": "roberta-base",
   "architectures": [
-    "RobertaForMaskedLM"
+    "RobertaForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,
@@ -25,6 +25,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
   "transformers_version": "4.33.0",
   "type_vocab_size": 1,
   "use_cache": true,

pytorch_model.bin

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+size 498660977

training_args.bin

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