Best model from mBert-finetuned-yiddish-experiment-4

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-multilingual-cased-finetuned-yiddish-experiment-4
+  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. -->
+
+# bert-base-multilingual-cased-finetuned-yiddish-experiment-4
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4127
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use adamw_torch 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: 200
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 8.5841        | 0.4728 | 100  | 2.6105          |
+| 1.9725        | 0.9456 | 200  | 1.6720          |
+| 1.535         | 1.4161 | 300  | 1.5957          |
+| 1.4496        | 1.8889 | 400  | 1.5590          |
+| 1.3806        | 2.3593 | 500  | 1.4973          |
+| 1.3533        | 2.8322 | 600  | 1.4804          |
+| 1.3           | 3.3026 | 700  | 1.4363          |
+| 1.3135        | 3.7754 | 800  | 1.4593          |
+| 1.2523        | 4.2459 | 900  | 1.4570          |
+| 1.255         | 4.7187 | 1000 | 1.4659          |
+| 1.2291        | 5.1891 | 1100 | 1.4127          |
+| 1.2041        | 5.6619 | 1200 | 1.4866          |
+| 1.1898        | 6.1324 | 1300 | 1.4525          |
+| 1.1729        | 6.6052 | 1400 | 1.4438          |
+| 1.1742        | 7.0757 | 1500 | 1.4242          |
+| 1.1645        | 7.5485 | 1600 | 1.4479          |
+| 1.1165        | 8.0189 | 1700 | 1.4881          |
+| 1.1283        | 8.4917 | 1800 | 1.4369          |
+| 1.1334        | 8.9645 | 1900 | 1.4631          |
+| 1.1081        | 9.4350 | 2000 | 1.4551          |
+| 1.1344        | 9.9078 | 2100 | 1.4553          |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "bert-base-multilingual-cased",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.47.0"
+}

model.safetensors

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runs/Dec08_09-58-50_95c7a0a50ee2/events.out.tfevents.1733651932.95c7a0a50ee2.2553.0

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training_args.bin

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