End of training

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- liputan6
+model-index:
+- name: IndoRetNet-Liputan6
+  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. -->
+
+# IndoRetNet-Liputan6
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the liputan6 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4936
+
+## 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: 0.0006
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 4.5053        | 0.17  | 1000  | 4.5145          |
+| 4.1281        | 0.34  | 2000  | 4.1702          |
+| 3.9452        | 0.52  | 3000  | 4.0094          |
+| 3.8302        | 0.69  | 4000  | 3.8972          |
+| 3.6955        | 0.86  | 5000  | 3.8144          |
+| 3.589         | 1.03  | 6000  | 3.7600          |
+| 3.5279        | 1.21  | 7000  | 3.7088          |
+| 3.4598        | 1.38  | 8000  | 3.6670          |
+| 3.4445        | 1.55  | 9000  | 3.6259          |
+| 3.4098        | 1.72  | 10000 | 3.5904          |
+| 3.3455        | 1.9   | 11000 | 3.5610          |
+| 3.2306        | 2.07  | 12000 | 3.5406          |
+| 3.261         | 2.24  | 13000 | 3.5216          |
+| 3.2204        | 2.41  | 14000 | 3.5111          |
+| 3.2321        | 2.59  | 15000 | 3.5001          |
+| 3.2514        | 2.76  | 16000 | 3.4941          |
+| 3.233         | 2.93  | 17000 | 3.4936          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "activation_dropout": 0.1,
+  "activation_fn": "swish",
+  "architectures": [
+    "RetNetForCausalLM"
+  ],
+  "decoder_embed_dim": 512,
+  "decoder_ffn_embed_dim": 864,
+  "decoder_layers": 6,
+  "decoder_normalize_before": true,
+  "decoder_retention_heads": 8,
+  "decoder_value_embed_dim": 864,
+  "deepnorm": false,
+  "drop_path_rate": 0.0,
+  "dropout": 0.1,
+  "eos_token_id": 0,
+  "forward_impl": "parallel",
+  "initializer_range": 0.02,
+  "is_decoder": true,
+  "layernorm_embedding": true,
+  "layernorm_eps": 1e-06,
+  "model_type": "retnet",
+  "no_scale_embedding": false,
+  "output_retentions": false,
+  "pad_token_id": 0,
+  "recurrent_chunk_size": 512,
+  "subln": true,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "use_ffn_rms_norm": false,
+  "use_glu": true,
+  "use_lm_decay": false,
+  "vocab_size": 50257,
+  "z_loss_coeff": 0.0
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "eos_token_id": 0,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4dfd1d4402f906514c3e0191309f57e2277578019f46fa4194fbe28605467d59
+size 282172696

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
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+      "special": true
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+    "4": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:2231034ab91c23466ddeabc12138856f6ac0e8d9878d66c1aeecc179e49811e6
+size 4664