End of training

README.md

@@ -1,59 +1,57 @@
----
-license: apache-2.0
-base_model: distilbert/distilroberta-base
-tags:
-- generated_from_trainer
-model-index:
-- name: my_awesome_eli5_mlm_model
-  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. -->
-
-# my_awesome_eli5_mlm_model
-
-This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7455
-
-## 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: 2e-05
-- train_batch_size: 10
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.9681        | 1.0   | 1037 | 0.8161          |
-| 0.8887        | 2.0   | 2074 | 0.7667          |
-| 0.8486        | 3.0   | 3111 | 0.7455          |
-
-
-### Framework versions
-
-- Transformers 4.40.1
-- Pytorch 2.2.1+cu121
-- Datasets 2.19.0
-- Tokenizers 0.19.1
+---
+license: apache-2.0
+base_model: distilbert/distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: my_awesome_eli5_mlm_model
+  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. -->
+
+# my_awesome_eli5_mlm_model
+
+This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0684
+
+## 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: 0.1
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.0959        | 1.0   | 6504 | 4.0684          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.0
+- Tokenizers 0.15.0

config.json

@@ -1,27 +1,27 @@
-{
-  "_name_or_path": "distilbert/distilroberta-base",
-  "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-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": "4.40.1",
-  "type_vocab_size": 1,
-  "use_cache": true,
-  "vocab_size": 50265
-}
+{
+  "_name_or_path": "distilbert/distilroberta-base",
+  "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-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": "4.36.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4494be2805523b1172e1ed3be2e770d76ed05b9fcb5e59b9adae5edc03118150
+oid sha256:7bf75feceafa4466860031dc389b7bf8ad61c3ca44a6dcaff7ccc65bb4c268ed
 size 328693404

runs/May02_21-12-47_Amal/events.out.tfevents.1714677207.Amal.17736.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7749f9a8c7129075086d2b6e64162251fb948fa8a64c9859171a9b90945eb541
+size 4340

runs/May02_21-23-15_Amal/events.out.tfevents.1714677801.Amal.17736.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20097f10c8d79adcce558b720635803b153091439fb0003a2699115c99700644
+size 5439

runs/May02_22-36-22_Amal/events.out.tfevents.1714682186.Amal.17736.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb3b9ac2f8e515925d8813669675c50db0ffb10b2868425ac1803b4e96f4e919
+size 7032

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:07c24c669013195c60a5d3068de8c7778b1e2b4e0ee002356bbd82d1d23df8bc
-size 4984
+oid sha256:158ad7d72558f05ed1d4666410f0836c3f3b68a2392cd7e2e0dcdc9341b6dd29
+size 4728