Training completed

README.md

@@ -0,0 +1,69 @@
+---
+library_name: transformers
+license: mit
+base_model: EleutherAI/gpt-neo-125M
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: MD5_gpt_neo_v1.1.4
+  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. -->
+
+# MD5_gpt_neo_v1.1.4
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 8.4439
+- Rouge1: 0.0706
+- Rouge2: 0.0027
+- Rougel: 0.0591
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- 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
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
+| No log        | 0.9956 | 112  | 1.2557          | 0.4506 | 0.3864 | 0.4424 |
+| No log        | 2.0    | 225  | 2.6798          | 0.2436 | 0.0318 | 0.1904 |
+| No log        | 2.9956 | 337  | 5.4290          | 0.1316 | 0.0166 | 0.1014 |
+| No log        | 4.0    | 450  | 8.2713          | 0.0840 | 0.0032 | 0.0668 |
+| 7.8064        | 4.9778 | 560  | 8.4439          | 0.0706 | 0.0027 | 0.0591 |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.46.1"
+}

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 +1,22 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 2048,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}