End of training

README.md

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+---
+base_model: NghiemAbe/gpt-neo-vi-small-v5
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt-neo-vi-small-v6
+  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-neo-vi-small-v6
+
+This model is a fine-tuned version of [NghiemAbe/gpt-neo-vi-small-v5](https://huggingface.co/NghiemAbe/gpt-neo-vi-small-v5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4156
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3849        | 0.1   | 25   | 0.5802          |
+| 0.3747        | 0.19  | 50   | 0.5680          |
+| 0.3843        | 0.29  | 75   | 0.5695          |
+| 0.4016        | 0.39  | 100  | 0.5782          |
+| 0.4101        | 0.49  | 125  | 0.5563          |
+| 0.4011        | 0.58  | 150  | 0.5162          |
+| 0.3729        | 0.68  | 175  | 0.4888          |
+| 0.3512        | 0.78  | 200  | 0.4544          |
+| 0.316         | 0.88  | 225  | 0.4319          |
+| 0.3126        | 0.97  | 250  | 0.4156          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "NghiemAbe/gpt-neo-vi-small-v5",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPTNeoForCausalLM"
+  ],
+  "attention_dropout": 0,
+  "attention_layers": [
+    "global",
+    "global",
+    "global",
+    "global",
+    "global",
+    "global",
+    "global",
+    "global",
+    "global",
+    "global",
+    "global",
+    "global"
+  ],
+  "attention_types": [
+    [
+      [
+        "global"
+      ],
+      12
+    ]
+  ],
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "embed_dropout": 0,
+  "eos_token_id": 0,
+  "gradient_checkpointing": false,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": null,
+  "layer_norm_epsilon": 1e-05,
+  "max_position_embeddings": 1024,
+  "model_type": "gpt_neo",
+  "num_heads": 12,
+  "num_layers": 12,
+  "pad_token_id": 1,
+  "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": "4.35.2",
+  "use_cache": false,
+  "vocab_size": 62000,
+  "window_size": 256
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.2"
+}

model.safetensors

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+oid sha256:6b50e200d535a9d3b3fd80af6be93c7c91eeac01267266a72cd4ce5e1fded4b1
+size 533740104

training_args.bin

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+size 4536