Model save

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: mit
+base_model: EleutherAI/gpt-neo-1.3B
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: gpt-medmentions
+  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. -->
+
+# gpt-medmentions
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4512
+- Precision: 0.4110
+- Recall: 0.5052
+- F1: 0.4533
+- Accuracy: 0.4334
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.2514        | 1.0   | 2917  | 1.2192          | 0.4016    | 0.3853 | 0.3933 | 0.4191   |
+| 1.0825        | 2.0   | 5834  | 1.1892          | 0.4234    | 0.6373 | 0.5088 | 0.4324   |
+| 0.9093        | 3.0   | 8751  | 1.2419          | 0.4105    | 0.4848 | 0.4446 | 0.4308   |
+| 0.7938        | 4.0   | 11668 | 1.3655          | 0.3774    | 0.3369 | 0.3560 | 0.4301   |
+| 0.746         | 5.0   | 14585 | 1.4512          | 0.4110    | 0.5052 | 0.4533 | 0.4334   |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

model-00001-of-00002.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8e535883c723a71ffb00b40f0b33f469e98cce1a220ac120fee9cf5a25278030
+oid sha256:221119b269a7b52f15c21fb1da3e4898f97c9222692ee90ecf24223b3decb638
 size 4993794184

model-00002-of-00002.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b1895cdbecc9073b852603cc07debfd48e748fc90e247522621dda61c30362e5
+oid sha256:e5299706ade53c527a6949065a93c5d53e3a024a0530cbb850de95830856c1da
 size 269093076

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,23 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 2048,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}