End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-sst2-fine-tuning-shuttleworth-t2
+  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. -->
+
+# roberta-sst2-fine-tuning-shuttleworth-t2
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3491
+- Accuracy: 0.9335
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- 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_ratio: 0.06
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 0.6887        | 0.0594 | 250   | 0.6925          | 0.5092   |
+| 0.3907        | 0.1188 | 500   | 0.2747          | 0.9048   |
+| 0.2923        | 0.1781 | 750   | 0.2581          | 0.8968   |
+| 0.29          | 0.2375 | 1000  | 0.2650          | 0.9140   |
+| 0.2636        | 0.2969 | 1250  | 0.2180          | 0.9255   |
+| 0.2501        | 0.3563 | 1500  | 0.2401          | 0.9278   |
+| 0.2485        | 0.4157 | 1750  | 0.2941          | 0.9060   |
+| 0.2465        | 0.4751 | 2000  | 0.2908          | 0.9117   |
+| 0.2255        | 0.5344 | 2250  | 0.3400          | 0.9094   |
+| 0.2563        | 0.5938 | 2500  | 0.2383          | 0.9255   |
+| 0.239         | 0.6532 | 2750  | 0.2242          | 0.9300   |
+| 0.2412        | 0.7126 | 3000  | 0.2647          | 0.9243   |
+| 0.2303        | 0.7720 | 3250  | 0.2391          | 0.9323   |
+| 0.2479        | 0.8314 | 3500  | 0.2478          | 0.9312   |
+| 0.2365        | 0.8907 | 3750  | 0.2826          | 0.9278   |
+| 0.2034        | 0.9501 | 4000  | 0.2374          | 0.9346   |
+| 0.1981        | 1.0095 | 4250  | 0.2414          | 0.9289   |
+| 0.2038        | 1.0689 | 4500  | 0.2832          | 0.9358   |
+| 0.1478        | 1.1283 | 4750  | 0.2674          | 0.9335   |
+| 0.2093        | 1.1876 | 5000  | 0.2612          | 0.9392   |
+| 0.1984        | 1.2470 | 5250  | 0.2418          | 0.9427   |
+| 0.1836        | 1.3064 | 5500  | 0.2635          | 0.9381   |
+| 0.1827        | 1.3658 | 5750  | 0.2924          | 0.9243   |
+| 0.1835        | 1.4252 | 6000  | 0.2754          | 0.9289   |
+| 0.1911        | 1.4846 | 6250  | 0.2762          | 0.9346   |
+| 0.1874        | 1.5439 | 6500  | 0.2190          | 0.9381   |
+| 0.1918        | 1.6033 | 6750  | 0.2548          | 0.9415   |
+| 0.1805        | 1.6627 | 7000  | 0.2336          | 0.9358   |
+| 0.1798        | 1.7221 | 7250  | 0.2671          | 0.9415   |
+| 0.1875        | 1.7815 | 7500  | 0.2633          | 0.9312   |
+| 0.1957        | 1.8409 | 7750  | 0.2512          | 0.9404   |
+| 0.1629        | 1.9002 | 8000  | 0.2643          | 0.9415   |
+| 0.1618        | 1.9596 | 8250  | 0.2867          | 0.9312   |
+| 0.1463        | 2.0190 | 8500  | 0.3041          | 0.9369   |
+| 0.1295        | 2.0784 | 8750  | 0.3021          | 0.9381   |
+| 0.1544        | 2.1378 | 9000  | 0.3249          | 0.9335   |
+| 0.1704        | 2.1971 | 9250  | 0.3550          | 0.9346   |
+| 0.1277        | 2.2565 | 9500  | 0.3159          | 0.9404   |
+| 0.157         | 2.3159 | 9750  | 0.3019          | 0.9381   |
+| 0.1675        | 2.3753 | 10000 | 0.2930          | 0.9392   |
+| 0.1447        | 2.4347 | 10250 | 0.2990          | 0.9346   |
+| 0.1658        | 2.4941 | 10500 | 0.2928          | 0.9346   |
+| 0.1676        | 2.5534 | 10750 | 0.3317          | 0.9369   |
+| 0.1439        | 2.6128 | 11000 | 0.2950          | 0.9358   |
+| 0.1827        | 2.6722 | 11250 | 0.2892          | 0.9369   |
+| 0.1333        | 2.7316 | 11500 | 0.3014          | 0.9300   |
+| 0.1283        | 2.7910 | 11750 | 0.3216          | 0.9404   |
+| 0.1349        | 2.8504 | 12000 | 0.3030          | 0.9369   |
+| 0.1548        | 2.9097 | 12250 | 0.3232          | 0.9358   |
+| 0.1566        | 2.9691 | 12500 | 0.2929          | 0.9381   |
+| 0.115         | 3.0285 | 12750 | 0.3122          | 0.9392   |
+| 0.1137        | 3.0879 | 13000 | 0.3419          | 0.9369   |
+| 0.1471        | 3.1473 | 13250 | 0.3507          | 0.9392   |
+| 0.1325        | 3.2067 | 13500 | 0.3332          | 0.9369   |
+| 0.1313        | 3.2660 | 13750 | 0.3053          | 0.9415   |
+| 0.1471        | 3.3254 | 14000 | 0.2984          | 0.9346   |
+| 0.1071        | 3.3848 | 14250 | 0.3294          | 0.9335   |
+| 0.1273        | 3.4442 | 14500 | 0.2874          | 0.9392   |
+| 0.1203        | 3.5036 | 14750 | 0.3479          | 0.9392   |
+| 0.1233        | 3.5629 | 15000 | 0.3529          | 0.9300   |
+| 0.0993        | 3.6223 | 15250 | 0.3450          | 0.9346   |
+| 0.1525        | 3.6817 | 15500 | 0.3439          | 0.9335   |
+| 0.119         | 3.7411 | 15750 | 0.3740          | 0.9289   |
+| 0.1081        | 3.8005 | 16000 | 0.3389          | 0.9381   |
+| 0.1138        | 3.8599 | 16250 | 0.3383          | 0.9358   |
+| 0.123         | 3.9192 | 16500 | 0.3234          | 0.9369   |
+| 0.1197        | 3.9786 | 16750 | 0.3422          | 0.9346   |
+| 0.1351        | 4.0380 | 17000 | 0.3424          | 0.9312   |
+| 0.1006        | 4.0974 | 17250 | 0.3290          | 0.9392   |
+| 0.0989        | 4.1568 | 17500 | 0.3456          | 0.9346   |
+| 0.1003        | 4.2162 | 17750 | 0.3636          | 0.9346   |
+| 0.0911        | 4.2755 | 18000 | 0.3685          | 0.9346   |
+| 0.0959        | 4.3349 | 18250 | 0.3547          | 0.9358   |
+| 0.1057        | 4.3943 | 18500 | 0.3543          | 0.9323   |
+| 0.1135        | 4.4537 | 18750 | 0.3506          | 0.9346   |
+| 0.1083        | 4.5131 | 19000 | 0.3361          | 0.9369   |
+| 0.0909        | 4.5724 | 19250 | 0.3597          | 0.9369   |
+| 0.0966        | 4.6318 | 19500 | 0.3673          | 0.9369   |
+| 0.0749        | 4.6912 | 19750 | 0.3665          | 0.9346   |
+| 0.0987        | 4.7506 | 20000 | 0.3592          | 0.9335   |
+| 0.111         | 4.8100 | 20250 | 0.3531          | 0.9335   |
+| 0.0946        | 4.8694 | 20500 | 0.3502          | 0.9346   |
+| 0.1023        | 4.9287 | 20750 | 0.3486          | 0.9346   |
+| 0.0889        | 4.9881 | 21000 | 0.3491          | 0.9335   |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.7.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

@@ -0,0 +1,27 @@
+{
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.4",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+oid sha256:4d0f91e2c5c7b15b66883692ccd8cf7bb7c2e81214e8c2041216d6f5f03e5141
+size 498612824

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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+oid sha256:b2dc71bc4ea80da480951c4e6076b1374800e00d0a2fb7585bd752e8a65f0de1
+size 5777