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Model: CausalNLP/gpt2-multilingual-20-deu-repair_3epochs
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+base_model: CausalNLP/gpt2-hf_multilingual-20
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt2-multilingual-20-deu-repair_3epochs
+  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. -->
+
+# gpt2-multilingual-20-deu-repair_3epochs
+
+This model is a fine-tuned version of [CausalNLP/gpt2-hf_multilingual-20](https://huggingface.co/CausalNLP/gpt2-hf_multilingual-20) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2187
+
+## 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: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 3.2849        | 0.0876 | 500   | 3.3025          |
+| 3.2491        | 0.1752 | 1000  | 3.2839          |
+| 3.2539        | 0.2628 | 1500  | 3.2729          |
+| 3.2063        | 0.3504 | 2000  | 3.2656          |
+| 3.2336        | 0.4380 | 2500  | 3.2591          |
+| 3.2188        | 0.5256 | 3000  | 3.2539          |
+| 3.2212        | 0.6132 | 3500  | 3.2500          |
+| 3.2204        | 0.7008 | 4000  | 3.2457          |
+| 3.2059        | 0.7884 | 4500  | 3.2427          |
+| 3.2236        | 0.8760 | 5000  | 3.2396          |
+| 3.2001        | 0.9636 | 5500  | 3.2368          |
+| 3.1861        | 1.0512 | 6000  | 3.2354          |
+| 3.1757        | 1.1388 | 6500  | 3.2339          |
+| 3.1804        | 1.2264 | 7000  | 3.2319          |
+| 3.1862        | 1.3140 | 7500  | 3.2297          |
+| 3.1533        | 1.4016 | 8000  | 3.2279          |
+| 3.1724        | 1.4892 | 8500  | 3.2262          |
+| 3.1641        | 1.5768 | 9000  | 3.2249          |
+| 3.1587        | 1.6644 | 9500  | 3.2235          |
+| 3.1577        | 1.7520 | 10000 | 3.2221          |
+| 3.1716        | 1.8396 | 10500 | 3.2212          |
+| 3.2024        | 1.9272 | 11000 | 3.2203          |
+| 3.1689        | 2.0147 | 11500 | 3.2199          |
+| 3.1569        | 2.1023 | 12000 | 3.2198          |
+| 3.1717        | 2.1899 | 12500 | 3.2195          |
+| 3.1449        | 2.2775 | 13000 | 3.2192          |
+| 3.1487        | 2.3651 | 13500 | 3.2190          |
+| 3.1555        | 2.4527 | 14000 | 3.2189          |
+| 3.1932        | 2.5403 | 14500 | 3.2188          |
+| 3.1394        | 2.6279 | 15000 | 3.2187          |
+| 3.1678        | 2.7155 | 15500 | 3.2187          |
+| 3.1385        | 2.8032 | 16000 | 3.2187          |
+| 3.1675        | 2.8908 | 16500 | 3.2187          |
+| 3.183         | 2.9784 | 17000 | 3.2187          |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0
+- Datasets 4.4.1
+- Tokenizers 0.22.1

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.0,
+  "block_size": 1024,
+  "bos_token_id": 3,
+  "dropout": 0.0,
+  "dtype": "bfloat16",
+  "embd_pdrop": 0.0,
+  "eos_token_id": 4,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.0,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.0,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "transformers_version": "4.57.3",
+  "use_cache": true,
+  "vocab_size": 119547
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 3,
+  "eos_token_id": 4,
+  "transformers_version": "4.57.3"
+}

model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": "<unk>"
+}

training_args.bin

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