End of training

README.md

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+---
+library_name: transformers
+base_model: roneneldan/TinyStories-33M
+tags:
+- generated_from_trainer
+model-index:
+- name: test_33M-2025-02-22-00-07
+  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. -->
+
+# test_33M-2025-02-22-00-07
+
+This model is a fine-tuned version of [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2483
+
+## 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-06
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.3209        | 0.8418 | 500  | 1.3723          |
+| 1.28          | 1.6835 | 1000 | 1.3094          |
+| 1.1689        | 2.5253 | 1500 | 1.2605          |
+| 0.95          | 3.3670 | 2000 | 1.2331          |
+| 0.991         | 4.2088 | 2500 | 1.2277          |
+| 0.9692        | 5.0505 | 3000 | 1.2284          |
+| 0.9282        | 5.8923 | 3500 | 1.2312          |
+| 0.8562        | 6.7340 | 4000 | 1.2369          |
+| 0.9935        | 7.5758 | 4500 | 1.2422          |
+| 0.8982        | 8.4175 | 5000 | 1.2462          |
+| 0.8745        | 9.2593 | 5500 | 1.2483          |
+
+
+### Framework versions
+
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "roneneldan/TinyStories-33M",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPTNeoForCausalLM"
+  ],
+  "attention_dropout": 0,
+  "attention_layers": [
+    "global",
+    "local",
+    "global",
+    "local"
+  ],
+  "attention_types": [
+    [
+      [
+        "global",
+        "local"
+      ],
+      2
+    ]
+  ],
+  "bos_token_id": 50256,
+  "classifier_dropout": 0.1,
+  "embed_dropout": 0,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": null,
+  "layer_norm_epsilon": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neo",
+  "num_heads": 16,
+  "num_layers": 4,
+  "resid_dropout": 0,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.1",
+  "use_cache": false,
+  "vocab_size": 50274,
+  "window_size": 256
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.48.1"
+}

model.safetensors

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special_tokens_map.json

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+}

tokenizer_config.json

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training_args.bin

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