Model save

README.md

@@ -0,0 +1,51 @@
+---
+base_model: indiejoseph/bart-base-cantonese
+tags:
+- generated_from_trainer
+model-index:
+- name: bart-cantonese-typo-corrector
+  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. -->
+
+# bart-cantonese-typo-corrector
+
+This model is a fine-tuned version of [indiejoseph/bart-base-cantonese](https://huggingface.co/indiejoseph/bart-base-cantonese) on an unknown dataset.
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.14.0

generation_config.json

@@ -0,0 +1,12 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 101,
+  "decoder_start_token_id": 102,
+  "early_stopping": true,
+  "eos_token_id": 102,
+  "forced_eos_token_id": 102,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "transformers_version": "4.34.1"
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8956c6be85ef4dbc39a3850710c0927b5b1e3bde334877ce05d3a7e72753846c
+oid sha256:5ff8bcfe64967f26a0dea83f1092302bbbc42cc9485554e3c56bf1318ffd2178
 size 561625501