Training in progress epoch 0

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: badokorach/roberta-base-squad2-agric-060124
+base_model: badokorach/xlm-roberta-base-finetuned-mlqa
 tags:
 - generated_from_keras_callback
 model-index:
@@ -13,17 +13,11 @@ probably proofread and complete it, then remove this comment. -->
 
 # badokorach/roberta-base-agric-trans-290124
 
-This model is a fine-tuned version of [badokorach/roberta-base-squad2-agric-060124](https://huggingface.co/badokorach/roberta-base-squad2-agric-060124) on an unknown dataset.
+This model is a fine-tuned version of [badokorach/xlm-roberta-base-finetuned-mlqa](https://huggingface.co/badokorach/xlm-roberta-base-finetuned-mlqa) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0007
+- Train Loss: 2.5938
 - Validation Loss: 0.0
-- Epoch: 14
-
-## Model Performance
-The model's performance in various metrics is as follows:
-
-- Exact Match: 81.60%
-- F1 Score: 81.88%
+- Epoch: 0
 
 ## Model description
 
@@ -42,28 +36,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 2280, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 460, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.1894     | 0.0             | 0     |
-| 0.0200     | 0.0             | 1     |
-| 0.0106     | 0.0             | 2     |
-| 0.0094     | 0.0             | 3     |
-| 0.0060     | 0.0             | 4     |
-| 0.0050     | 0.0             | 5     |
-| 0.0048     | 0.0             | 6     |
-| 0.0043     | 0.0             | 7     |
-| 0.0013     | 0.0             | 8     |
-| 0.0013     | 0.0             | 9     |
-| 0.0009     | 0.0             | 10    |
-| 0.0013     | 0.0             | 11    |
-| 0.0008     | 0.0             | 12    |
-| 0.0035     | 0.0             | 13    |
-| 0.0007     | 0.0             | 14    |
+| 2.5938     | 0.0             | 0     |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "badokorach/roberta-base-squad2-agric-060124",
+  "_name_or_path": "badokorach/xlm-roberta-base-finetuned-mlqa",
   "architectures": [
     "XLMRobertaForQuestionAnswering"
   ],
@@ -20,7 +20,6 @@
   "output_past": true,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
-  "torch_dtype": "float32",
   "transformers_version": "4.35.2",
   "type_vocab_size": 1,
   "use_cache": true,

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:38d1236d10bf5847b818f34b843f1c32edc3c04adca7a561132eb5d1148cd618
+oid sha256:05e6a58ab7bead15abe52b79e63d5362fb5f6f62a4201cca844bbd002b805f83
 size 1110105320

tokenizer.json

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:87a64ee085e5e14dbc9894857e29a8ac501e74d9842aeb174e22474a30360a64
-size 17083021
+oid sha256:f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af
+size 17082756

tokenizer_config.json

@@ -46,16 +46,9 @@
   "cls_token": "<s>",
   "eos_token": "</s>",
   "mask_token": "<mask>",
-  "max_length": 384,
   "model_max_length": 512,
-  "pad_to_multiple_of": null,
   "pad_token": "<pad>",
-  "pad_token_type_id": 0,
-  "padding_side": "right",
   "sep_token": "</s>",
-  "stride": 128,
   "tokenizer_class": "XLMRobertaTokenizer",
-  "truncation_side": "right",
-  "truncation_strategy": "only_second",
   "unk_token": "<unk>"
 }