End of training

README.md

@@ -1,199 +1,92 @@
 ---
-library_name: transformers
-tags: []
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-wiki-en
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
-- **Developed by:** [More Information Needed]
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-## Uses
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-### Direct Use
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-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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-## How to Get Started with the Model
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-Use the code below to get started with the model.
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-## Training Details
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-### Training Data
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-### Training Procedure
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-#### Preprocessing [optional]
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-#### Training Hyperparameters
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-## Evaluation
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-### Testing Data, Factors & Metrics
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-## Environmental Impact
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-## Technical Specifications [optional]
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-## Glossary [optional]
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+<!-- 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-wiki-en
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2966
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 12500.0
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step   | Validation Loss |
+|:-------------:|:------:|:------:|:---------------:|
+| 1.5933        | 0.0928 | 12500  | 1.4776          |
+| 1.6391        | 0.1856 | 25000  | 1.5202          |
+| 1.6551        | 0.2783 | 37500  | 1.5291          |
+| 1.6398        | 0.3711 | 50000  | 1.5364          |
+| 1.6429        | 0.4639 | 62500  | 1.5345          |
+| 1.6354        | 0.5567 | 75000  | 1.5338          |
+| 1.629         | 0.6495 | 87500  | 1.5325          |
+| 1.6457        | 0.7423 | 100000 | 1.5285          |
+| 1.6514        | 0.8350 | 112500 | 1.5377          |
+| 1.5955        | 0.9278 | 125000 | 1.5234          |
+| 1.616         | 1.0206 | 137500 | 1.5196          |
+| 1.5456        | 2.2268 | 150000 | 1.4437          |
+| 1.5265        | 2.4124 | 162500 | 1.4288          |
+| 1.514         | 2.5979 | 175000 | 1.4139          |
+| 1.5114        | 2.7835 | 187500 | 1.4059          |
+| 1.4989        | 2.9691 | 200000 | 1.4008          |
+| 1.4962        | 3.1546 | 212500 | 1.3926          |
+| 1.481         | 3.3402 | 225000 | 1.3850          |
+| 1.469         | 3.5258 | 237500 | 1.3777          |
+| 1.4654        | 3.7113 | 250000 | 1.3689          |
+| 1.463         | 3.8969 | 262500 | 1.3652          |
+| 1.4546        | 4.0825 | 275000 | 1.3575          |
+| 1.4436        | 4.2680 | 287500 | 1.3489          |
+| 1.4312        | 4.4536 | 300000 | 1.3441          |
+| 1.4312        | 4.6392 | 312500 | 1.3359          |
+| 1.4204        | 4.8247 | 325000 | 1.3272          |
+| 1.4138        | 5.0103 | 337500 | 1.3228          |
+| 1.4096        | 5.1959 | 350000 | 1.3168          |
+| 1.4162        | 5.3814 | 362500 | 1.3108          |
+| 1.4005        | 5.5670 | 375000 | 1.3048          |
+| 1.3965        | 5.7526 | 387500 | 1.2997          |
+| 1.3802        | 5.9381 | 400000 | 1.2966          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "./RoBERTaWikiEN",
+  "architectures": [
+    "RobertaForMaskedLM"
+  ],
+  "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-12,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c72e84b60cc01b3ec71f7cd108f139d70b05814fb97b6c995e1027ab6d1bf68d
+size 498817020

special_tokens_map.json

@@ -1,7 +1,25 @@
 {
-  "bos_token": "<s>",
-  "cls_token": "<s>",
-  "eos_token": "</s>",
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
   "mask_token": {
     "content": "<mask>",
     "lstrip": true,
@@ -9,7 +27,25 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "<pad>",
-  "sep_token": "</s>",
-  "unk_token": "<unk>"
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
 }

tokenizer_config.json

@@ -48,6 +48,7 @@
   "eos_token": "</s>",
   "errors": "replace",
   "mask_token": "<mask>",
+  "max_len": 512,
   "model_max_length": 512,
   "pad_token": "<pad>",
   "sep_token": "</s>",

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e53e4a41473d757c2545db7ad68b745e2de575447628983c7fc217e7c9c2608
+size 5176