Upload task output tmplrtest

.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

@@ -0,0 +1,202 @@
+---
+base_model: samoline/4084e1ff-15bf-4a3b-a548-bd073151d1d5
+library_name: peft
+---
+
+# 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. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.15.1

adapter_config.json

@@ -0,0 +1,39 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "samoline/4084e1ff-15bf-4a3b-a548-bd073151d1d5",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 512,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "gate_proj",
+    "up_proj",
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b520f3ba5b62de6785e33b57a00e05d9e320bbc7af88de361ccfab215b6e0fa
+size 3313655720

loss.txt

@@ -0,0 +1 @@
+458,1.2423216104507446

special_tokens_map.json

@@ -0,0 +1,33 @@
+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<eos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
+size 33384568

trainer_state.json

@@ -0,0 +1,687 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.991304347826087,
+  "eval_steps": 500,
+  "global_step": 458,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.021739130434782608,
+      "grad_norm": 0.2065464166118803,
+      "learning_rate": 9.237540571428572e-06,
+      "loss": 1.3456,
+      "step": 5
+    },
+    {
+      "epoch": 0.043478260869565216,
+      "grad_norm": 0.1480933204239956,
+      "learning_rate": 2.0784466285714287e-05,
+      "loss": 1.2885,
+      "step": 10
+    },
+    {
+      "epoch": 0.06521739130434782,
+      "grad_norm": 0.150974056451755,
+      "learning_rate": 3.2331392000000005e-05,
+      "loss": 1.3042,
+      "step": 15
+    },
+    {
+      "epoch": 0.08695652173913043,
+      "grad_norm": 0.17178907051327394,
+      "learning_rate": 4.3878317714285716e-05,
+      "loss": 1.2698,
+      "step": 20
+    },
+    {
+      "epoch": 0.10869565217391304,
+      "grad_norm": 0.1565313504705507,
+      "learning_rate": 5.542524342857144e-05,
+      "loss": 1.3194,
+      "step": 25
+    },
+    {
+      "epoch": 0.13043478260869565,
+      "grad_norm": 0.16154165023636324,
+      "learning_rate": 6.697216914285716e-05,
+      "loss": 1.3126,
+      "step": 30
+    },
+    {
+      "epoch": 0.15217391304347827,
+      "grad_norm": 0.1508862078278226,
+      "learning_rate": 7.851909485714286e-05,
+      "loss": 1.2444,
+      "step": 35
+    },
+    {
+      "epoch": 0.17391304347826086,
+      "grad_norm": 0.13942726185321958,
+      "learning_rate": 8.082290185896143e-05,
+      "loss": 1.359,
+      "step": 40
+    },
+    {
+      "epoch": 0.1956521739130435,
+      "grad_norm": 0.16794065891151863,
+      "learning_rate": 8.08002441797129e-05,
+      "loss": 1.2772,
+      "step": 45
+    },
+    {
+      "epoch": 0.21739130434782608,
+      "grad_norm": 0.13583828632003314,
+      "learning_rate": 8.076017134863456e-05,
+      "loss": 1.3199,
+      "step": 50
+    },
+    {
+      "epoch": 0.2391304347826087,
+      "grad_norm": 0.12058729414284189,
+      "learning_rate": 8.07027064112386e-05,
+      "loss": 1.1545,
+      "step": 55
+    },
+    {
+      "epoch": 0.2608695652173913,
+      "grad_norm": 0.1580929470393744,
+      "learning_rate": 8.062788241507575e-05,
+      "loss": 1.2062,
+      "step": 60
+    },
+    {
+      "epoch": 0.2826086956521739,
+      "grad_norm": 0.14344490834313062,
+      "learning_rate": 8.053574239072986e-05,
+      "loss": 1.241,
+      "step": 65
+    },
+    {
+      "epoch": 0.30434782608695654,
+      "grad_norm": 0.15510628341722088,
+      "learning_rate": 8.042633932707147e-05,
+      "loss": 1.2569,
+      "step": 70
+    },
+    {
+      "epoch": 0.32608695652173914,
+      "grad_norm": 0.15855414118402722,
+      "learning_rate": 8.029973614078431e-05,
+      "loss": 1.323,
+      "step": 75
+    },
+    {
+      "epoch": 0.34782608695652173,
+      "grad_norm": 0.17952542628856666,
+      "learning_rate": 8.015600564018263e-05,
+      "loss": 1.4028,
+      "step": 80
+    },
+    {
+      "epoch": 0.3695652173913043,
+      "grad_norm": 0.15172040801101977,
+      "learning_rate": 7.999523048333973e-05,
+      "loss": 1.3163,
+      "step": 85
+    },
+    {
+      "epoch": 0.391304347826087,
+      "grad_norm": 0.15965559075617186,
+      "learning_rate": 7.981750313055204e-05,
+      "loss": 1.2999,
+      "step": 90
+    },
+    {
+      "epoch": 0.41304347826086957,
+      "grad_norm": 0.15306603709633343,
+      "learning_rate": 7.962292579116623e-05,
+      "loss": 1.3225,
+      "step": 95
+    },
+    {
+      "epoch": 0.43478260869565216,
+      "grad_norm": 0.1389965548962345,
+      "learning_rate": 7.941161036479934e-05,
+      "loss": 1.2768,
+      "step": 100
+    },
+    {
+      "epoch": 0.45652173913043476,
+      "grad_norm": 0.16277701740229086,
+      "learning_rate": 7.918367837698652e-05,
+      "loss": 1.2641,
+      "step": 105
+    },
+    {
+      "epoch": 0.4782608695652174,
+      "grad_norm": 2.167084486878609,
+      "learning_rate": 7.893926090929274e-05,
+      "loss": 1.2767,
+      "step": 110
+    },
+    {
+      "epoch": 0.5,
+      "grad_norm": 0.18721740530412184,
+      "learning_rate": 7.867849852392907e-05,
+      "loss": 1.3353,
+      "step": 115
+    },
+    {
+      "epoch": 0.5217391304347826,
+      "grad_norm": 0.1595853671566002,
+      "learning_rate": 7.840154118291658e-05,
+      "loss": 1.3192,
+      "step": 120
+    },
+    {
+      "epoch": 0.5434782608695652,
+      "grad_norm": 0.15538820768411876,
+      "learning_rate": 7.810854816184464e-05,
+      "loss": 1.3333,
+      "step": 125
+    },
+    {
+      "epoch": 0.5652173913043478,
+      "grad_norm": 0.16998123505161036,
+      "learning_rate": 7.779968795827297e-05,
+      "loss": 1.3044,
+      "step": 130
+    },
+    {
+      "epoch": 0.5869565217391305,
+      "grad_norm": 0.15621775760411818,
+      "learning_rate": 7.747513819483031e-05,
+      "loss": 1.3067,
+      "step": 135
+    },
+    {
+      "epoch": 0.6086956521739131,
+      "grad_norm": 0.16293023551932742,
+      "learning_rate": 7.713508551706524e-05,
+      "loss": 1.4349,
+      "step": 140
+    },
+    {
+      "epoch": 0.6304347826086957,
+      "grad_norm": 0.16734455190765907,
+      "learning_rate": 7.677972548610812e-05,
+      "loss": 1.31,
+      "step": 145
+    },
+    {
+      "epoch": 0.6521739130434783,
+      "grad_norm": 0.15739717348744878,
+      "learning_rate": 7.640926246620566e-05,
+      "loss": 1.2386,
+      "step": 150
+    },
+    {
+      "epoch": 0.6739130434782609,
+      "grad_norm": 0.1931909414435857,
+      "learning_rate": 7.602390950719296e-05,
+      "loss": 1.2572,
+      "step": 155
+    },
+    {
+      "epoch": 0.6956521739130435,
+      "grad_norm": 0.15051641328484738,
+      "learning_rate": 7.562388822197052e-05,
+      "loss": 1.2769,
+      "step": 160
+    },
+    {
+      "epoch": 0.717391304347826,
+      "grad_norm": 0.16776500409127318,
+      "learning_rate": 7.520942865905675e-05,
+      "loss": 1.2971,
+      "step": 165
+    },
+    {
+      "epoch": 0.7391304347826086,
+      "grad_norm": 0.1558669075485943,
+      "learning_rate": 7.478076917028921e-05,
+      "loss": 1.2169,
+      "step": 170
+    },
+    {
+      "epoch": 0.7608695652173914,
+      "grad_norm": 0.16119001773393687,
+      "learning_rate": 7.433815627375065e-05,
+      "loss": 1.3132,
+      "step": 175
+    },
+    {
+      "epoch": 0.782608695652174,
+      "grad_norm": 0.15949576336588536,
+      "learning_rate": 7.388184451199874e-05,
+      "loss": 1.2098,
+      "step": 180
+    },
+    {
+      "epoch": 0.8043478260869565,
+      "grad_norm": 0.16762909113707056,
+      "learning_rate": 7.341209630568113e-05,
+      "loss": 1.2119,
+      "step": 185
+    },
+    {
+      "epoch": 0.8260869565217391,
+      "grad_norm": 0.15938491024669238,
+      "learning_rate": 7.292918180261961e-05,
+      "loss": 1.214,
+      "step": 190
+    },
+    {
+      "epoch": 0.8478260869565217,
+      "grad_norm": 0.1565363254612612,
+      "learning_rate": 7.243337872245076e-05,
+      "loss": 1.3229,
+      "step": 195
+    },
+    {
+      "epoch": 0.8695652173913043,
+      "grad_norm": 0.1837054421065538,
+      "learning_rate": 7.192497219691187e-05,
+      "loss": 1.2572,
+      "step": 200
+    },
+    {
+      "epoch": 0.8913043478260869,
+      "grad_norm": 0.17510726258023546,
+      "learning_rate": 7.14042546058644e-05,
+      "loss": 1.2429,
+      "step": 205
+    },
+    {
+      "epoch": 0.9130434782608695,
+      "grad_norm": 0.17918443573588427,
+      "learning_rate": 7.087152540914899e-05,
+      "loss": 1.27,
+      "step": 210
+    },
+    {
+      "epoch": 0.9347826086956522,
+      "grad_norm": 0.16181464986135835,
+      "learning_rate": 7.032709097436893e-05,
+      "loss": 1.3244,
+      "step": 215
+    },
+    {
+      "epoch": 0.9565217391304348,
+      "grad_norm": 0.18983732250278182,
+      "learning_rate": 6.977126440070099e-05,
+      "loss": 1.2607,
+      "step": 220
+    },
+    {
+      "epoch": 0.9782608695652174,
+      "grad_norm": 0.16413532578219092,
+      "learning_rate": 6.9204365338835e-05,
+      "loss": 1.3419,
+      "step": 225
+    },
+    {
+      "epoch": 0.9956521739130435,
+      "eval_loss": 1.2522636651992798,
+      "eval_runtime": 88.1417,
+      "eval_samples_per_second": 0.783,
+      "eval_steps_per_second": 0.102,
+      "step": 229
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 0.46992013172628483,
+      "learning_rate": 6.862671980714567e-05,
+      "loss": 1.2573,
+      "step": 230
+    },
+    {
+      "epoch": 1.0217391304347827,
+      "grad_norm": 0.17964246635807615,
+      "learning_rate": 6.803866000420255e-05,
+      "loss": 1.1699,
+      "step": 235
+    },
+    {
+      "epoch": 1.0434782608695652,
+      "grad_norm": 0.17711791749777692,
+      "learning_rate": 6.744052411772561e-05,
+      "loss": 1.1813,
+      "step": 240
+    },
+    {
+      "epoch": 1.065217391304348,
+      "grad_norm": 0.20800740462129375,
+      "learning_rate": 6.683265613009676e-05,
+      "loss": 1.2145,
+      "step": 245
+    },
+    {
+      "epoch": 1.0869565217391304,
+      "grad_norm": 0.1790435581426176,
+      "learning_rate": 6.621540562053868e-05,
+      "loss": 1.1687,
+      "step": 250
+    },
+    {
+      "epoch": 1.108695652173913,
+      "grad_norm": 0.19206023313050768,
+      "learning_rate": 6.558912756407504e-05,
+      "loss": 1.1168,
+      "step": 255
+    },
+    {
+      "epoch": 1.1304347826086956,
+      "grad_norm": 0.19351056033989472,
+      "learning_rate": 6.495418212738781e-05,
+      "loss": 1.1031,
+      "step": 260
+    },
+    {
+      "epoch": 1.1521739130434783,
+      "grad_norm": 0.1929035962432216,
+      "learning_rate": 6.431093446168862e-05,
+      "loss": 1.1046,
+      "step": 265
+    },
+    {
+      "epoch": 1.1739130434782608,
+      "grad_norm": 0.18031873301953555,
+      "learning_rate": 6.365975449272376e-05,
+      "loss": 1.0313,
+      "step": 270
+    },
+    {
+      "epoch": 1.1956521739130435,
+      "grad_norm": 0.19072557482852942,
+      "learning_rate": 6.300101670803327e-05,
+      "loss": 1.0155,
+      "step": 275
+    },
+    {
+      "epoch": 1.2173913043478262,
+      "grad_norm": 0.19222722891199284,
+      "learning_rate": 6.233509994158672e-05,
+      "loss": 1.0188,
+      "step": 280
+    },
+    {
+      "epoch": 1.2391304347826086,
+      "grad_norm": 0.1977105629184088,
+      "learning_rate": 6.166238715591927e-05,
+      "loss": 1.149,
+      "step": 285
+    },
+    {
+      "epoch": 1.2608695652173914,
+      "grad_norm": 0.17886902159518417,
+      "learning_rate": 6.0983265221893474e-05,
+      "loss": 1.0339,
+      "step": 290
+    },
+    {
+      "epoch": 1.2826086956521738,
+      "grad_norm": 0.1938241832022054,
+      "learning_rate": 6.0298124696213476e-05,
+      "loss": 1.0982,
+      "step": 295
+    },
+    {
+      "epoch": 1.3043478260869565,
+      "grad_norm": 0.19758944910159232,
+      "learning_rate": 5.960735959681945e-05,
+      "loss": 1.123,
+      "step": 300
+    },
+    {
+      "epoch": 1.3260869565217392,
+      "grad_norm": 0.1877646524241858,
+      "learning_rate": 5.891136717629159e-05,
+      "loss": 1.0153,
+      "step": 305
+    },
+    {
+      "epoch": 1.3478260869565217,
+      "grad_norm": 0.2053796629015727,
+      "learning_rate": 5.82105476933938e-05,
+      "loss": 1.1374,
+      "step": 310
+    },
+    {
+      "epoch": 1.3695652173913042,
+      "grad_norm": 0.20656589720047988,
+      "learning_rate": 5.7505304182888675e-05,
+      "loss": 1.0031,
+      "step": 315
+    },
+    {
+      "epoch": 1.391304347826087,
+      "grad_norm": 0.20517612870523771,
+      "learning_rate": 5.6796042223755874e-05,
+      "loss": 1.1024,
+      "step": 320
+    },
+    {
+      "epoch": 1.4130434782608696,
+      "grad_norm": 0.2059235805386809,
+      "learning_rate": 5.608316970594749e-05,
+      "loss": 1.071,
+      "step": 325
+    },
+    {
+      "epoch": 1.434782608695652,
+      "grad_norm": 0.20924273619816075,
+      "learning_rate": 5.5367096595814274e-05,
+      "loss": 1.1296,
+      "step": 330
+    },
+    {
+      "epoch": 1.4565217391304348,
+      "grad_norm": 0.19136863234304072,
+      "learning_rate": 5.464823470033789e-05,
+      "loss": 1.0511,
+      "step": 335
+    },
+    {
+      "epoch": 1.4782608695652173,
+      "grad_norm": 0.20700709646972654,
+      "learning_rate": 5.392699743030447e-05,
+      "loss": 1.1051,
+      "step": 340
+    },
+    {
+      "epoch": 1.5,
+      "grad_norm": 0.20931900716899277,
+      "learning_rate": 5.320379956255593e-05,
+      "loss": 1.0226,
+      "step": 345
+    },
+    {
+      "epoch": 1.5217391304347827,
+      "grad_norm": 0.20298044586118655,
+      "learning_rate": 5.247905700145572e-05,
+      "loss": 1.0848,
+      "step": 350
+    },
+    {
+      "epoch": 1.5434782608695652,
+      "grad_norm": 0.20694877907868348,
+      "learning_rate": 5.175318653970605e-05,
+      "loss": 1.095,
+      "step": 355
+    },
+    {
+      "epoch": 1.5652173913043477,
+      "grad_norm": 0.19516755215038753,
+      "learning_rate": 5.102660561865429e-05,
+      "loss": 1.0546,
+      "step": 360
+    },
+    {
+      "epoch": 1.5869565217391304,
+      "grad_norm": 0.1964975411046726,
+      "learning_rate": 5.029973208822634e-05,
+      "loss": 1.0689,
+      "step": 365
+    },
+    {
+      "epoch": 1.608695652173913,
+      "grad_norm": 0.2056348548121518,
+      "learning_rate": 4.9572983966625056e-05,
+      "loss": 1.087,
+      "step": 370
+    },
+    {
+      "epoch": 1.6304347826086958,
+      "grad_norm": 0.20756916326417496,
+      "learning_rate": 4.8846779199931804e-05,
+      "loss": 1.0973,
+      "step": 375
+    },
+    {
+      "epoch": 1.6521739130434783,
+      "grad_norm": 0.2201415808276959,
+      "learning_rate": 4.812153542174962e-05,
+      "loss": 1.0988,
+      "step": 380
+    },
+    {
+      "epoch": 1.6739130434782608,
+      "grad_norm": 0.2029740340446862,
+      "learning_rate": 4.7397669713025996e-05,
+      "loss": 1.0824,
+      "step": 385
+    },
+    {
+      "epoch": 1.6956521739130435,
+      "grad_norm": 0.21082370579952373,
+      "learning_rate": 4.667559836219353e-05,
+      "loss": 1.0526,
+      "step": 390
+    },
+    {
+      "epoch": 1.7173913043478262,
+      "grad_norm": 0.22827766879708888,
+      "learning_rate": 4.595573662576621e-05,
+      "loss": 1.153,
+      "step": 395
+    },
+    {
+      "epoch": 1.7391304347826086,
+      "grad_norm": 0.21594690562138477,
+      "learning_rate": 4.5238498489529416e-05,
+      "loss": 1.0416,
+      "step": 400
+    },
+    {
+      "epoch": 1.7608695652173914,
+      "grad_norm": 0.2234495033400394,
+      "learning_rate": 4.452429643046047e-05,
+      "loss": 1.1061,
+      "step": 405
+    },
+    {
+      "epoch": 1.7826086956521738,
+      "grad_norm": 0.20429899070533641,
+      "learning_rate": 4.381354117951693e-05,
+      "loss": 1.0673,
+      "step": 410
+    },
+    {
+      "epoch": 1.8043478260869565,
+      "grad_norm": 0.20175980259236084,
+      "learning_rate": 4.310664148542911e-05,
+      "loss": 1.1085,
+      "step": 415
+    },
+    {
+      "epoch": 1.8260869565217392,
+      "grad_norm": 0.22972932269987778,
+      "learning_rate": 4.2404003879632465e-05,
+      "loss": 1.1106,
+      "step": 420
+    },
+    {
+      "epoch": 1.8478260869565217,
+      "grad_norm": 0.2069219549317397,
+      "learning_rate": 4.170603244247511e-05,
+      "loss": 1.0134,
+      "step": 425
+    },
+    {
+      "epoch": 1.8695652173913042,
+      "grad_norm": 0.28862471197127954,
+      "learning_rate": 4.101312857083501e-05,
+      "loss": 1.062,
+      "step": 430
+    },
+    {
+      "epoch": 1.891304347826087,
+      "grad_norm": 0.22289565470086473,
+      "learning_rate": 4.032569074728038e-05,
+      "loss": 1.2017,
+      "step": 435
+    },
+    {
+      "epoch": 1.9130434782608696,
+      "grad_norm": 0.24443473389994466,
+      "learning_rate": 3.964411431090602e-05,
+      "loss": 1.1038,
+      "step": 440
+    },
+    {
+      "epoch": 1.9347826086956523,
+      "grad_norm": 0.22270022150824992,
+      "learning_rate": 3.896879122997752e-05,
+      "loss": 1.0885,
+      "step": 445
+    },
+    {
+      "epoch": 1.9565217391304348,
+      "grad_norm": 0.2148088888391178,
+      "learning_rate": 3.8300109876513964e-05,
+      "loss": 1.1251,
+      "step": 450
+    },
+    {
+      "epoch": 1.9782608695652173,
+      "grad_norm": 0.21318145678486677,
+      "learning_rate": 3.763845480293877e-05,
+      "loss": 1.1119,
+      "step": 455
+    },
+    {
+      "epoch": 1.991304347826087,
+      "eval_loss": 1.2423216104507446,
+      "eval_runtime": 88.1188,
+      "eval_samples_per_second": 0.783,
+      "eval_steps_per_second": 0.102,
+      "step": 458
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 690,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 475053447708672.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9f16e9a7df67560dd84e9a3584801a1ce6a638aba62192dd7b955ae22b20018
+size 7416