Model save

README.md

@@ -1,3 +1,74 @@
----
-license: apache-2.0
----
+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- precision
+- recall
+model-index:
+- name: roberta-base-multilingual-sentiment
+  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-base-multilingual-sentiment
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4333
+- F1: 0.8168
+- Precision: 0.8175
+- Recall: 0.8162
+
+## 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: 5e-05
+- train_batch_size: 512
+- eval_batch_size: 512
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 1024
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 5.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:---------:|:------:|
+| 0.898         | 1.0   | 3074  | 0.4324          | 0.8048 | 0.8081    | 0.8033 |
+| 0.8305        | 2.0   | 6148  | 0.4175          | 0.8147 | 0.8151    | 0.8143 |
+| 0.7187        | 3.0   | 9222  | 0.4219          | 0.8162 | 0.8167    | 0.8158 |
+| 0.7263        | 4.0   | 12296 | 0.4260          | 0.8168 | 0.8178    | 0.8160 |
+| 0.6721        | 5.0   | 15370 | 0.4333          | 0.8168 | 0.8175    | 0.8162 |
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

all_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 5.0,
+    "train_loss": 0.7951339374212142,
+    "train_runtime": 80422.989,
+    "train_samples_per_second": 195.683,
+    "train_steps_per_second": 0.191
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3a25a2415e7f96600a6cfcacac9d0374524f4f691508129dda5a52c7a4621bf
+oid sha256:d2680eec44a510cad6a33166695477a1ea759300fbc3cacf00dfc75d3b3e3bae
 size 556116054

runs/Jan01_10-52-53_hn-fornix-testing-gpu-platform-2/events.out.tfevents.1735729024.hn-fornix-testing-gpu-platform-2.1337824.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c2fc10fdd3b9ba61467a84a6a303895477b36d3a54cb9c376cefcd0514f3c666
-size 655647
+oid sha256:9b34a4c6bbc0721b614cb8d98efb7e7fa5c0b36bb47795f18625706948ff237e
+size 656421

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 5.0,
+    "train_loss": 0.7951339374212142,
+    "train_runtime": 80422.989,
+    "train_samples_per_second": 195.683,
+    "train_steps_per_second": 0.191
+}