End of training

README.md

@@ -0,0 +1,83 @@
+---
+base_model: Zelyanoth/my_fon_translation_model
+tags:
+- generated_from_trainer
+datasets:
+- generator
+metrics:
+- bleu
+model-index:
+- name: my_fon_translation_model
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: generator
+      type: generator
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 4.6993
+---
+
+<!-- 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. -->
+
+# my_fon_translation_model
+
+This model is a fine-tuned version of [Zelyanoth/my_fon_translation_model](https://huggingface.co/Zelyanoth/my_fon_translation_model) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.3862
+- Bleu: 4.6993
+- Gen Len: 8.9558
+
+## 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: 1.87e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 9
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
+| 1.3141        | 1.0   | 13165  | 5.0069          | 3.3364 | 9.1891  |
+| 1.1534        | 2.0   | 26330  | 5.1888          | 3.7137 | 9.1076  |
+| 1.1158        | 3.0   | 39495  | 5.1695          | 4.1907 | 8.9998  |
+| 0.9801        | 4.0   | 52660  | 5.2281          | 4.2697 | 8.8066  |
+| 0.941         | 5.0   | 65825  | 5.3425          | 4.3691 | 9.0261  |
+| 0.8676        | 6.0   | 78990  | 5.3371          | 4.0892 | 9.3749  |
+| 0.8247        | 7.0   | 92155  | 5.3622          | 4.4876 | 9.1058  |
+| 0.7925        | 8.0   | 105320 | 5.3538          | 4.728  | 8.9704  |
+| 0.7639        | 9.0   | 118485 | 5.3862          | 4.6993 | 8.9558  |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "facebook/nllb-200-distilled-600M",
+  "_name_or_path": "Zelyanoth/my_fon_translation_model",
   "activation_dropout": 0.0,
   "activation_function": "relu",
   "architectures": [

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.39.3"
+}

model.safetensors

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runs/Jun03_14-29-44_d532e7250bcf/events.out.tfevents.1717425200.d532e7250bcf.24.0

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runs/Jun03_14-29-44_d532e7250bcf/events.out.tfevents.1717465648.d532e7250bcf.24.1

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tokenizer_config.json

@@ -1867,12 +1867,16 @@
   "eos_token": "</s>",
   "legacy_behaviour": false,
   "mask_token": "<mask>",
+  "max_length": 512,
   "model_max_length": 1024,
   "pad_token": "<pad>",
   "sep_token": "</s>",
   "sp_model_kwargs": {},
   "src_lang": "fon_Latn",
+  "stride": 0,
   "tgt_lang": "fra_Latn",
   "tokenizer_class": "NllbTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }

training_args.bin

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