End of training

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: 20231130_Clinic-T5-Base_30ep_Summ
+  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. -->
+
+# 20231130_Clinic-T5-Base_30ep_Summ
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8581
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 38   | 17.0247         |
+| No log        | 2.0   | 76   | 16.5034         |
+| No log        | 3.0   | 114  | 15.6444         |
+| No log        | 4.0   | 152  | 14.2924         |
+| No log        | 5.0   | 190  | 11.8023         |
+| No log        | 6.0   | 228  | 5.4032          |
+| No log        | 7.0   | 266  | 3.7098          |
+| No log        | 8.0   | 304  | 2.3450          |
+| No log        | 9.0   | 342  | 1.3799          |
+| No log        | 10.0  | 380  | 1.2035          |
+| No log        | 11.0  | 418  | 1.0931          |
+| No log        | 12.0  | 456  | 0.9507          |
+| No log        | 13.0  | 494  | 0.9109          |
+| 8.1499        | 14.0  | 532  | 0.8942          |
+| 8.1499        | 15.0  | 570  | 0.8811          |
+| 8.1499        | 16.0  | 608  | 0.8727          |
+| 8.1499        | 17.0  | 646  | 0.8644          |
+| 8.1499        | 18.0  | 684  | 0.8581          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "/home/gaurav_narasimhan/02.gn_data/09.Clinical-T5_Physionet/physionet.org/files/clinical-t5/1.0.0/Clinical-T5-Base",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 32115
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.1"
+}

pytorch_model.bin

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training_args.bin

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