End of training

README.md

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+---
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: distilroberta-base-finetuned-media-left
+  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. -->
+
+# distilroberta-base-finetuned-media-left
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0757
+
+## 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: 0.0001
+- 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: 35
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 237  | 1.9155          |
+| No log        | 2.0   | 474  | 1.8080          |
+| 2.1076        | 3.0   | 711  | 1.7998          |
+| 2.1076        | 4.0   | 948  | 1.6789          |
+| 1.729         | 5.0   | 1185 | 1.6023          |
+| 1.729         | 6.0   | 1422 | 1.5996          |
+| 1.4949        | 7.0   | 1659 | 1.5250          |
+| 1.4949        | 8.0   | 1896 | 1.4521          |
+| 1.3437        | 9.0   | 2133 | 1.4227          |
+| 1.3437        | 10.0  | 2370 | 1.4164          |
+| 1.1716        | 11.0  | 2607 | 1.3883          |
+| 1.1716        | 12.0  | 2844 | 1.3573          |
+| 1.0851        | 13.0  | 3081 | 1.3602          |
+| 1.0851        | 14.0  | 3318 | 1.2873          |
+| 0.9756        | 15.0  | 3555 | 1.2825          |
+| 0.9756        | 16.0  | 3792 | 1.2744          |
+| 0.9178        | 17.0  | 4029 | 1.2702          |
+| 0.9178        | 18.0  | 4266 | 1.2629          |
+| 0.8283        | 19.0  | 4503 | 1.2731          |
+| 0.8283        | 20.0  | 4740 | 1.1455          |
+| 0.8283        | 21.0  | 4977 | 1.2067          |
+| 0.7733        | 22.0  | 5214 | 1.1868          |
+| 0.7733        | 23.0  | 5451 | 1.1915          |
+| 0.7167        | 24.0  | 5688 | 1.1226          |
+| 0.7167        | 25.0  | 5925 | 1.1329          |
+| 0.681         | 26.0  | 6162 | 1.1684          |
+| 0.681         | 27.0  | 6399 | 1.1707          |
+| 0.6346        | 28.0  | 6636 | 1.0747          |
+| 0.6346        | 29.0  | 6873 | 1.1317          |
+| 0.6035        | 30.0  | 7110 | 1.1026          |
+| 0.6035        | 31.0  | 7347 | 1.1029          |
+| 0.5947        | 32.0  | 7584 | 1.0896          |
+| 0.5947        | 33.0  | 7821 | 1.1341          |
+| 0.5426        | 34.0  | 8058 | 1.0862          |
+| 0.5426        | 35.0  | 8295 | 1.0757          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "distilroberta-base",
+  "architectures": [
+    "RobertaForCausalLM"
+  ],
+  "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": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.2"
+}

model.safetensors

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runs/Jan07_15-48-58_6bfb435c377d/events.out.tfevents.1704644766.6bfb435c377d.509.4

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training_args.bin

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