End of training

README.md

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+---
+base_model: kumarme072/med_model_1
+tags:
+- generated_from_trainer
+model-index:
+- name: model_med_195_E
+  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. -->
+
+# model_med_195_E
+
+This model is a fine-tuned version of [kumarme072/med_model_1](https://huggingface.co/kumarme072/med_model_1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3613
+
+## 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: 2e-05
+- 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: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 5.1689        | 1.0   | 109  | 4.8744          |
+| 4.9643        | 2.0   | 218  | 4.8066          |
+| 4.9906        | 3.0   | 327  | 4.7453          |
+| 4.8863        | 4.0   | 436  | 4.6879          |
+| 4.9099        | 5.0   | 545  | 4.6287          |
+| 4.8006        | 6.0   | 654  | 4.5485          |
+| 4.6872        | 7.0   | 763  | 4.4754          |
+| 4.6197        | 8.0   | 872  | 4.4153          |
+| 4.6041        | 9.0   | 981  | 4.3753          |
+| 4.5845        | 10.0  | 1090 | 4.3613          |
+
+
+### Framework versions
+
+- Transformers 4.39.0
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "kumarme072/med_model_1",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 104944
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.0"
+}

model.safetensors

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+oid sha256:82cbf9d2072b68bc6e936b112dcc6c0a42c466fe4e8ffac4b48ecd2de30ecc66
+size 667002984

training_args.bin

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+oid sha256:fc3292f391bf6891f622f576a13489828b1611f798b52fe5e3cae10f8cdcff98
+size 4856