End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-base_model: MilaNLProc/feel-it-italian-sentiment
+base_model: cardiffnlp/xlm-roberta-base-tweet-sentiment-it
 tags:
 - generated_from_trainer
 model-index:
@@ -13,9 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # sentiment-analysis-test
 
-This model is a fine-tuned version of [MilaNLProc/feel-it-italian-sentiment](https://huggingface.co/MilaNLProc/feel-it-italian-sentiment) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6602
+This model is a fine-tuned version of [cardiffnlp/xlm-roberta-base-tweet-sentiment-it](https://huggingface.co/cardiffnlp/xlm-roberta-base-tweet-sentiment-it) on an unknown dataset.
 
 ## Model description
 
@@ -50,4 +48,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.51.3
 - Pytorch 2.6.0+cu124
+- Datasets 3.5.1
 - Tokenizers 0.21.1

config.json

@@ -1,12 +1,11 @@
 {
   "architectures": [
-    "CamembertForSequenceClassification"
+    "XLMRobertaForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "bos_token_id": 5,
+  "bos_token_id": 0,
   "classifier_dropout": null,
-  "eos_token_id": 6,
-  "gradient_checkpointing": false,
+  "eos_token_id": 2,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -24,7 +23,7 @@
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,
-  "model_type": "camembert",
+  "model_type": "xlm-roberta",
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
   "output_past": true,
@@ -35,5 +34,5 @@
   "transformers_version": "4.51.3",
   "type_vocab_size": 1,
   "use_cache": true,
-  "vocab_size": 32005
+  "vocab_size": 250002
 }

model.safetensors

@@ -1,3 +1,3 @@
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+size 1112208084

runs/May07_13-43-09_7324be3e6627/events.out.tfevents.1746625502.7324be3e6627.1086.0

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runs/May07_13-52-59_7324be3e6627/events.out.tfevents.1746625995.7324be3e6627.21224.0

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sentencepiece.bpe.model

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-size 793981
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+size 5069051

special_tokens_map.json

@@ -1,8 +1,4 @@
 {
-  "additional_special_tokens": [
-    "<s>NOTUSED",
-    "</s>NOTUSED"
-  ],
   "bos_token": {
     "content": "<s>",
     "lstrip": false,
@@ -27,7 +23,7 @@
   "mask_token": {
     "content": "<mask>",
     "lstrip": true,
-    "normalized": true,
+    "normalized": false,
     "rstrip": false,
     "single_word": false
   },

tokenizer_config.json

@@ -1,7 +1,7 @@
 {
   "added_tokens_decoder": {
     "0": {
-      "content": "<s>NOTUSED",
+      "content": "<s>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -17,7 +17,7 @@
       "special": true
     },
     "2": {
-      "content": "</s>NOTUSED",
+      "content": "</s>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -32,44 +32,31 @@
       "single_word": false,
       "special": true
     },
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-      "lstrip": false,
-      "normalized": false,
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-      "lstrip": false,
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       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
-  "additional_special_tokens": [
-    "<s>NOTUSED",
-    "</s>NOTUSED"
-  ],
   "bos_token": "<s>",
   "clean_up_tokenization_spaces": false,
   "cls_token": "<s>",
   "eos_token": "</s>",
   "extra_special_tokens": {},
   "mask_token": "<mask>",
-  "model_max_length": 1000000000000000019884624838656,
+  "max_length": 128,
+  "model_max_length": 512,
+  "pad_to_multiple_of": null,
   "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
   "sep_token": "</s>",
-  "tokenizer_class": "CamembertTokenizer",
+  "stride": 0,
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
   "unk_token": "<unk>"
 }

training_args.bin

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