End of training

README.md

@@ -0,0 +1,66 @@
+---
+license: mit
+base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
+tags:
+- generated_from_trainer
+model-index:
+- name: my_awesome_eli5_mlm_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. -->
+
+# my_awesome_eli5_mlm_model
+
+This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1650
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0282        | 1.0   | 157  | 0.1593          |
+| 0.0205        | 2.0   | 314  | 0.1629          |
+| 0.0267        | 3.0   | 471  | 0.1604          |
+| 0.0207        | 4.0   | 628  | 0.1591          |
+| 0.0122        | 5.0   | 785  | 0.1619          |
+| 0.0087        | 6.0   | 942  | 0.1626          |
+| 0.0065        | 7.0   | 1099 | 0.1644          |
+| 0.0051        | 8.0   | 1256 | 0.1649          |
+| 0.0042        | 9.0   | 1413 | 0.1650          |
+| 0.0041        | 10.0  | 1570 | 0.1650          |
+
+
+### Framework versions
+
+- Transformers 4.39.0
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,25 @@
+{
+  "_name_or_path": "microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext",
+  "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": 30522
+}

generation_config.json

@@ -0,0 +1,5 @@
+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:590d9c593ca934cf7a90c61c8c53ad185365bb724a833912bce6d0ff0e9d5628
+size 438080896

runs/May13_16-12-34_DESKTOP-P9D9A7A/events.out.tfevents.1715596955.DESKTOP-P9D9A7A.21284.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc6107eb12b41d667ae2ed37abc0faba4f5f945108387c19c497f9b299a17170
+size 4627

runs/May13_16-13-20_DESKTOP-P9D9A7A/events.out.tfevents.1715597000.DESKTOP-P9D9A7A.21284.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a817a8e7c3988bb7b4dfc429f1eb132948bf2e5334450fa55eb20df98ffaa86a
+size 5794

runs/May13_16-20-10_DESKTOP-P9D9A7A/events.out.tfevents.1715597410.DESKTOP-P9D9A7A.21284.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd3a4147133af44255f133a3bf4209ff95531a430763d38b4d5aae60716fac95
+size 4628

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c48f0ebdd6b3f82187861805b6f8ba73b999e21198591005caba93c513ec5b7b
+size 4856