Training in progress, epoch 1

README.md

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+---
+library_name: peft
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: Se124M100KInfDelimiter
+  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. -->
+
+# Se124M100KInfDelimiter
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4823
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- 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: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 0.1538        | 1.0   | 2090   | 0.5678          |
+| 0.1412        | 2.0   | 4180   | 0.5413          |
+| 0.1405        | 3.0   | 6270   | 0.5325          |
+| 0.1355        | 4.0   | 8360   | 0.5241          |
+| 0.1364        | 5.0   | 10450  | 0.5211          |
+| 0.1341        | 6.0   | 12540  | 0.5170          |
+| 0.1312        | 7.0   | 14630  | 0.5123          |
+| 0.1304        | 8.0   | 16720  | 0.5078          |
+| 0.1301        | 9.0   | 18810  | 0.5064          |
+| 0.1286        | 10.0  | 20900  | 0.5058          |
+| 0.1308        | 11.0  | 22990  | 0.5022          |
+| 0.1292        | 12.0  | 25080  | 0.5007          |
+| 0.1287        | 13.0  | 27170  | 0.5005          |
+| 0.1306        | 14.0  | 29260  | 0.4976          |
+| 0.1312        | 15.0  | 31350  | 0.4975          |
+| 0.1268        | 16.0  | 33440  | 0.4963          |
+| 0.1267        | 17.0  | 35530  | 0.4944          |
+| 0.1273        | 18.0  | 37620  | 0.4932          |
+| 0.1243        | 19.0  | 39710  | 0.4925          |
+| 0.1266        | 20.0  | 41800  | 0.4912          |
+| 0.127         | 21.0  | 43890  | 0.4914          |
+| 0.1278        | 22.0  | 45980  | 0.4905          |
+| 0.1276        | 23.0  | 48070  | 0.4899          |
+| 0.1285        | 24.0  | 50160  | 0.4888          |
+| 0.1264        | 25.0  | 52250  | 0.4889          |
+| 0.1256        | 26.0  | 54340  | 0.4881          |
+| 0.1251        | 27.0  | 56430  | 0.4876          |
+| 0.1291        | 28.0  | 58520  | 0.4869          |
+| 0.1254        | 29.0  | 60610  | 0.4867          |
+| 0.1268        | 30.0  | 62700  | 0.4863          |
+| 0.1247        | 31.0  | 64790  | 0.4857          |
+| 0.126         | 32.0  | 66880  | 0.4855          |
+| 0.1262        | 33.0  | 68970  | 0.4852          |
+| 0.1257        | 34.0  | 71060  | 0.4848          |
+| 0.1246        | 35.0  | 73150  | 0.4846          |
+| 0.1261        | 36.0  | 75240  | 0.4839          |
+| 0.1269        | 37.0  | 77330  | 0.4839          |
+| 0.1244        | 38.0  | 79420  | 0.4836          |
+| 0.1243        | 39.0  | 81510  | 0.4836          |
+| 0.1256        | 40.0  | 83600  | 0.4834          |
+| 0.1237        | 41.0  | 85690  | 0.4827          |
+| 0.1244        | 42.0  | 87780  | 0.4833          |
+| 0.1234        | 43.0  | 89870  | 0.4828          |
+| 0.1255        | 44.0  | 91960  | 0.4824          |
+| 0.1272        | 45.0  | 94050  | 0.4826          |
+| 0.1258        | 46.0  | 96140  | 0.4824          |
+| 0.1264        | 47.0  | 98230  | 0.4825          |
+| 0.1236        | 48.0  | 100320 | 0.4824          |
+| 0.1254        | 49.0  | 102410 | 0.4825          |
+| 0.1242        | 50.0  | 104500 | 0.4823          |
+
+
+### Framework versions
+
+- PEFT 0.15.1
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu118
+- Datasets 3.5.0
+- Tokenizers 0.21.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "gpt2",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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+{
+  "<|endofex|>": 50258,
+  "<|startofex|>": 50257
+}

all_results.json

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+{
+    "epoch": 50.0,
+    "eval_loss": 0.48229941725730896,
+    "eval_runtime": 89.4463,
+    "eval_samples_per_second": 160.588,
+    "eval_steps_per_second": 5.02,
+    "perplexity": 1.619794707189944,
+    "total_flos": 2.191516447408128e+17,
+    "train_loss": 0.12940116086530914,
+    "train_runtime": 10778.4774,
+    "train_samples_per_second": 310.183,
+    "train_steps_per_second": 9.695
+}

eval_results.json

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+{
+    "epoch": 50.0,
+    "eval_loss": 0.48229941725730896,
+    "eval_runtime": 89.4463,
+    "eval_samples_per_second": 160.588,
+    "eval_steps_per_second": 5.02,
+    "perplexity": 1.619794707189944
+}

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    {
+      "content": "<|startofex|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    },
+    {
+      "content": "<|endofex|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false
+    }
+  ],
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50257": {
+      "content": "<|startofex|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50258": {
+      "content": "<|endofex|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|startofex|>",
+    "<|endofex|>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

train_results.json

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+{
+    "epoch": 50.0,
+    "total_flos": 2.191516447408128e+17,
+    "train_loss": 0.12940116086530914,
+    "train_runtime": 10778.4774,
+    "train_samples_per_second": 310.183,
+    "train_steps_per_second": 9.695
+}

training_args.bin

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+size 5368