End of training

README.md

@@ -0,0 +1,62 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: mlm
+  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. -->
+
+# mlm
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.5428
+
+## 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: 64
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 200
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 5.9959        | 10.87 | 500  | 5.4385          |
+| 4.974         | 21.74 | 1000 | 5.0920          |
+| 4.2917        | 32.61 | 1500 | 4.7598          |
+| 3.7303        | 43.48 | 2000 | 4.4384          |
+| 3.2166        | 54.35 | 2500 | 4.3718          |
+| 2.7673        | 65.22 | 3000 | 4.3775          |
+| 2.3727        | 76.09 | 3500 | 4.4200          |
+| 2.029         | 86.96 | 4000 | 4.5428          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

config.json

@@ -12,7 +12,7 @@
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   "intermediate_size": 3072,
   "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
+  "max_position_embeddings": 514,
   "model_type": "roberta",
   "num_attention_heads": 12,
   "num_hidden_layers": 6,
@@ -20,7 +20,7 @@
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
   "transformers_version": "4.35.2",
-  "type_vocab_size": 2,
+  "type_vocab_size": 1,
   "use_cache": true,
-  "vocab_size": 6881
+  "vocab_size": 52000
 }

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training_args.bin

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